Technology Investment Banking (M&A) Q&A

I wanted to make a forum on answering tech investment banking M&A questions - appreciate there is a huge amount of interest going into this field. I work at a top tier bank in London and want to open this to answer any questions!

I am also a new coach and offering assistance to help people get into Investment Banking / M&A eithe from a graduate background or a professional background. Please check out my mentor profile! 

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How did you ramp on the TMT space before hitting the desk? Were there particular resources or approaches you found most helpful?

Also, once you started on the desk, how were you able to show your knowledge of the space and making sure your team noticed your contributions?

 

Think my last comment failed to post, but I'll repost: It depends which letter of "TMT" your bank focuses on, as each one is very different from the others. I only focus on the first "T", so my knowledge of media and telecom is very limited.

Assuming your group focuses on the first "T" (technology), I think the most helpful prep involves: 

(1) getting a basic grasp of the various metrics and KPIs important in the tech world: ARR, ACV, TCV, gross/net retention, net dollar expansion, LTV/CAC, RPO, deferred revenue, deferred contract acquisition costs, etc. 

(2) understanding the broad sub-sectors of technology and where your group focuses. Enterprise software (Salesforce, Workday) is very different from infrastructure software (Datadog, Oracle, etc.) which is very different from infrastructure hardware (Cisco, HPE, etc.) which is very different from chipmakers (Nvidia, AMD, etc.), etc. 

Business models and terminology differ a lot between these sectors, so understanding your group's area of expertise can be pretty critical. I have some time on my hands later today waiting for comments so I can make a separate post on this. Stay tuned :)

Edit: See my reply below for more detail on (2). Replied here instead of making a separate post.

Edit 2: Mods, why do my replies keep getting removed...

Edit 3: Back up, thanks mods

hardstuck in IB
 

This is super helpful - really appreciate it. How would you breakdown the software space? Have seen it being segmented by application v. infrastructure; vertical v. horizontal v. infrastructure; enterprise v. infrastructure, etc. Realize software touches upon all industries and is a pretty broad space. Would really appreciate guidance on this. Thanks in advance!

 

Likewise, I will focus on technology as media and telecom differ significantly, in particular telecom.

To add to the below, as an intern a lot of the work will be powerpoint and excel based, so being proficient, accurate and fast is extremely important. As an intern your contribution will be less on the technical side, so being able to quickly deliver and accurately will help you analyst and associate significantly.

Secondly, it is important to understand valuation and be able to produce comps, LBO models fairly quickly, whether you use FactSet or CapitalIQ, and then understanding what to produce in terms of outputs. I'd make sure you understand how regressions work, rule of 40 metrics, and the basic valuation multiples.

Understanding the various subsectors and players in each subsectors will be important as well as metrics/KPIs however I do think you will grasp this over time and on the job.

 

Thanks for making the thread. I don’t have a question, but I’m also a TMT banker (VP level), so happy to answer questions and bounce ideas off each other.

I mostly do buyside M&A advisory, focused on infrastructure hardware (NetApp, Dell, IBM, etc.) and software (Datadog, Elastic, Snowflake, etc.)

hardstuck in IB
 

Don't want to hijack the thread, but may I ask how would you prepare for the technical + modelling? Have been hearging stuff like tmtbanking.com, marginofalpha, and peak frameworks. Do you think it would be better to buy such stuffs rather than WSP/BIWS/WSO? Many thanks!

 

Haven’t heard of the guides you listed but I wouldn’t really spend money on a broad TMT course. That’s so broad that it’s hard to imagine how much depth they can get into with each sub-sector and niche.

Additionally unless you’re talking about run-of-the-mill enterprise application software/SaaS, there is very little standardization in how modeling is done on the job. Even then, what you learn from the course may be done completely differently once you hit the desk.

Every client I’ve had has approached software modeling a different way for example. I’ve seen clients build insanely detailed sales rep hiring / productivity ramp-driven ARR projections with revenue recognition waterfalls down to the week, boiling the ocean calculating every known SaaS metric to mankind…and I’ve also had clients that slap a % growth rate on ARR, assume a % conversion to revenue, and call it a day.

You’ll learn those nuances on the job depending on your client and firm preferences / practices. The common part you’ll have to deal with regardless is things like valuation, understanding how to model M&A, reading the tea leaves on football fields (i.e., why is one valuation so different from another, etc.), so I would focus on the fundamentals. Free tools for the tech-specific stuff like SaaSCFO and…frankly…chatGPT are all you really need imo.

hardstuck in IB
 

As a fellow Asian male...I would caution you against getting too technical in interviews. We already have the socially-awkward, shy, "quant" stereotype attached to us. If you start diving into SaaS metrics in an interview to show off your technical knowledge, it may have the opposite effect. It also draws more technical follow-up questions that you may not be prepared to answer. 

Of course fine to reference in an answer, but don't get too detailed. 

hardstuck in IB
 
Most Helpful

I think there's plenty of resources out there already on the actual common behavioral questions asked (including the M&I 400 IB Q&A guide), so I'll comment on the less talked about things that, as least I as an interviewer, have come to appreciate.

It really was only after I became an interviewer (after I discontinued my exit opps search) that I realized how cringe I was sometimes, and where I should have changed my approach lol. Not that I did all of these things...but I definitely did some...

  1. This is way more important than I initially appreciated: DO NOT appear overly-rehearsed or look like you are reading off a script. People can tell when your eyes are darting back and froth between the Zoom and ChatGPT/your notes.
  2. To that point, when asked if you have questions for the interviewer, it can come across as disingenuous when you ask a very detailed prepared question about one specific deal the firm did to show off your interest / studying.
    1. Fine to ask, "I've always been interested in the cybersecurity space, have invested in a few stocks myself, and I saw you guys did this deal. By chance, did you work on it? Would love to hear what you thought about it."
    2. But please don't ask, "I saw you guys advised on that $3.2 billion sellside, which was a 4.3x revenue multiple. When I look at public comps, I think the average was 5.3x and the company had 3 percentage points of better revenue growth than the peers. Did you think that was perhaps an undervaluation?"
  3. Please don't overly-glaze the firm/interviewer and repeat cringey marketing language off the website for the "Why this firm" question.
    1. Keep it simple, i.e., "This firm has a well-known reputation in x sector that I've always been interested in. I also spoke with a few people here, really enjoyed it, and this boutique environment seems like a rare opportunity to get real mentorship and hands-on exposure to deals that I find very exciting" [or something like that]
    2. Don't say, "I truly believe that this firm's differentiated advice and focus on true client partnership serves to drive outsized value creation. I saw your profile on LinkedIn, and I was blown away by your deal-making prowess and industry leadership [your interviewer is a first-year MBA associate] which demonstrates the elite pedigree of your firm."
  4. When asked why you're leaving a certain role, job, industry, etc., NEVER badmouth your prior company. If you do that to them, how do we know you won't do that to us in the future?
  5. Write down and rehearse (though don't script it out and memorize...bullets of the general points only) 3 stories about times you overcame a challenge, with at least one involving interpersonal stuff and 3 stories that each demonstrate a different strength of yours. Those type of answers can be twisted to address different variations, e.g., "3 strengths and weaknesses", "your biggest challenge", "a time you overcame adversity",  "a time you got into a conflict and how you resolved it.", etc.
  6. Appearing calm is actually quite critical. Aside from the obvious confidence it exudes, it also makes you feel like someone that people want to work with because you won't add to the stress. (I personally really need to work on this myself...) Don't drink too much coffee. Invest in a suit that's breathable if you sweat a lot. Try to not shake your legs or stim too much (I have ADHD, so I understand the pain...)
  7. Don't be dismissive of the "Tell me about your interests" or "Tell me about your favorite class" type questions. You never know. Sometimes, if it's a hobby or something the interviewer cares about, you can sidetrack the whole interview just talking about that. I once had a whole 45 minute interview with a Director about the same EDM artist we both liked lol. 
hardstuck in IB
 

How do the boutique tech firms (Qatalyst / Raine / Torch / Bulldog etc.) Weigh up vs their traditional counterparts in London. (Obviously not comparing MM boutiques to the huge BBs)


More of a question about how the likes of JPM / GS London compare to boutique firms including the EBs in the tech space

 

I am US-based so can't comment on the London IB scene, but I am a smaller tech boutique doing buyside M&A advisory mostly, and we encounter Qatalyst non-stop (haven't encountered the others you mentioned. 

Seems like they are always on the other side of our deals. They churn out high-profile tech sell-sides like they're handing out candy. 

Quite mind-boggling but I imagine with that much experience, they probably have a very smooth process at this point. 

I see them more frequently in tech than pretty much any other BB/EB other than maybe JPM/MS. Again, just my experience, which may differ from others. 

hardstuck in IB
 

I am in the London IB scene - so I can help here for sure. I work for a TMT specialised boutique, and we encounter the BBs in most of our sell-side pitches (GS, MS, JP, as well as some of the elite boutiques such as Evercore, Moelis who are reasonably strong too). The BBs are all very strong in tech as well, with GS and MS being the strongest, however the top boutiques do regularly compete with them, particularly for private M&A deals and P2Ps.

Qatalyst focus on one or two very large deal per year and they have a very small team but are very strong. Torch are slightly weaker i.e. would not compete with the EBs or BBs but good at the MM M&A scene.

 

Wanted to hear a little more from everyone's perspective on the cyber scene. In terms of breakdown of subsectors, would grouping into NetSec, IAM, EDR/detection response, phishing, and cloud security be the best groupings, or am I missing any others? Also, with the whole industry becoming more important with high-profile scams, which subsectors do you think are poised to see outsized growth and more importance in a more digital world with things like IoT, AI, and cloud exploding in popularity? Also, PANW has seen some pretty good success with their platformization (essentially just general consolidation in the industry). Given what you guys are seeing, is this a strategy that other cyber players are trying to replicate to see more ARR growth and stable RPOs? Also, do you think big tech will continue trying to shop for big cyber companies like Google-Wiz M&A? Lastly, which ones have you seen the most surprising market reactions to? I know cyber usually gets high valuations for the SaaS like business model, but are there certain subsectors that demand a more premium multiple or a less premium multiple? Sorry if anything sounds basic here, I'm just a college kid who is curious.

 

I've done 3 deals in the cybersecurity space, but a few years ago, so my knowledge may be a bit dated, but here's the way I think about it. I may also be misremembering some things, as it's been a while. Welcome any further insight from others. 

There has absolutely been a trend of platformization in cybersecurity. Part of this is driven by the competitiveness of the sector, as companies are competing against other cybersecurity companies as well as giants like Microsoft, Cisco, etc. With vendor sprawl, a platform that consolidates multiple security functions can be a competitive advantage.

However, the bigger driver is the rise of cloud and the distributed workforce. In the old days of cybersecurity, it was sufficient to defend a specific area of the infrastructure since the "perimeter" was well-defined (i.e., the office and on-premise data center since very few people worked from home and most infrastructure was on-prem still). 

On the endpoint side, you had the OG antivirus companies like McAfee and Symantec defending your PC endpoint, Trend Micro defending your email inbox (identity security), Fortinet defending your networking infrastructure, etc. 

In addition to these solutions focused on defending a specific part of the infra, there was also a subset that focused on scanning and monitoring logs across the infrastructure for any security weaknesses or threats, called vulnerability management, which gave rise to security incident and event management (SIEM) systems like Tenable and Rapid7. 

Endpoint security saw the antivirus part gradually became more distinct as a less-attractive consumer-focused segment (as opposed to enterprise). This led to the eventual separation of Symantec into enterprise vs. consumer security companies, i.e., NortonLifeLock, which subsequently consolidated with Avast to form Gen Digital. 

In the enterprise world, endpoint security and vulnerability management go hand-in-hand, and as focus shifted towards real-time detection of threats, we began seeing the rise of automation capabilities like SOAR (security orchestration & automated response), eventually giving rise to endpoint detection and response (EDR), the predecessors to the modern XDR platforms like Crowdstrike.

That was on the endpoint side. At the perimeter, you had a hodgepodge of company types that all began to compete in the network security space. In the hardware arena, traditional networking hardware providers (routers, switches, etc.) like Fortinet and Cisco naturally began to develop or acquire complementary cybersecurity capabilities like firewall, DDoS protection, etc. Application delivery controller/load balancer-type companies such as Cloudflare, F5, A10, etc. have also entered this space over time. 

On the software side, this led to the rise of network security-focused companies like Check Point and Palo Alto Networks, who began developing more powerful next-generation firewalls (NGFW), secure web gateways, etc. Infrastructure monitoring and observability companies that were originally focused on performance rather than security also began to develop real security capabilities (e.g., Dynatrace, Datadog, etc.)

The real catalyst for the convergence though was the rise of cloud infrastructure, which broke the traditional model of security. It was no longer sufficient to protect just the office perimeter or to just protect the "endpoint". It became clear that threats could enter through multiple different openings and permeate throughout the infrastructure. 

For a brief period of time, the cloud security industry seemed to try and segment themselves into different buckets...cloud workload protection platforms (CWPP), cloud security posture management (CSPM), etc. These would soon converge to form CNAPP (cloud-native application protection platform), within which, Wiz is a leader. 

Endpoint and network security providers began taking note of this as well and started expanding into each other's spaces, resulting in the rise of XDR (extended detection and response) which effectively combines all of the above into one platform, covering both cloud and on-prem infrastructure (as opposed to companies like Wiz who focus on cloud specifically). 

Today, these are the dominant players in the space. For example, from the endpoint security world, you have Crowdstrike, Microsoft, SentinelOne emerging as leaders in XDR. From the network security world, you have Palo Alto Networks emerging as the XDR leader.

We often looks at valuations relative to growth (the sector trades on a mix of revenue and FCF multiples). Cybersecurity has one of the tightest correlations among enterprise software, which indicates that differentiation is blurring such that growth is ultimately what investors focus on when thinking about valuation in the sector, not sub-sector focus. 

Some companies have carved out a niche for themselves and trade in line with (or at a slight discount) vs. what their growth profile would indicate they should trade at. For example, players like Okta have carved out their niche in modern identity security. You have companies like N-able and Kaseya that focus on managed service providers serving SMB customers. 

Network security still exists as its own thing given the existence of companies like Cisco, Juniper, etc. where it is a natural adjacency. Endpoint security is gradually being absorbed by Microsoft and XDR giants. For endpoint, I should note the existance also of IT asset management companies originally focused on remote monitoring of employee devices, patch management, etc. like Ivanti or Tanium. 

These companies haven't done so hot, as much of their capabilities have been made redundant by all the other security tools out there. Along with them (mostly private), there are a few other laggards that are focused on niche areas (e.g., Jamf for Mac endpoint security) or legacy functions/SMB customers (Rapid7 and Tenable still provide VM/SIEM for SMBs). These trade at a noticeable discount to the others. 

hardstuck in IB
 

Agreed with a lot of the comments here. We have some resources on the buyside that we walk our associates through. Truth be told, we leveraged GenAI for a lot of the materials construction. You can do several prompts to get a good sense of what you need to know. You may already be doing this, but as someone who lives and breathes TMT M&A, I've found this to be an incredibly helpful resource.

 

Edited response from ChatGPT:
 

1. Core Technical Prep

Most first-round and superday interviews test standard investment banking technicals. Resources:

  • Breaking Into Wall Street (BIWS) or Wall Street Prep – full guides to accounting, valuation, M&A, LBOs, and Excel modeling.
  • Street of Walls Technical Guide – free and well-regarded PDF covering accounting, DCF, M&A, and LBO basics.
  • Macabacus – excellent (and free) reference site for accounting, valuation formulas, and Excel best practices.
  • Investment Banking by Rosenbaum & Pearl – the “bible” for valuation and deal structuring.
  • Vault / WSO (Wall Street Oasis) Guides – practice Q&A banks, especially useful for behavioral and technical questions.

2. TMT-Specific Knowledge

Large banks expect familiarity with sector trends and frameworks. Recommended:

  • Equity Research Reports (TMT sector)JPMorgan, Goldman, and Morgan Stanley reports on SaaS, semis, internet, or telecom. Even outdated reports are good primers.
  • CB Insights, PitchBook, and Gartner – for market maps, TAM analysis, and current sector dynamics.
  • Industry Trade Press:
    • TechCrunch, The Information → for venture & growth tech deals.
    • Light Reading (Telecom), Hollywood Reporter / Variety (Media).
  • Big Tech 10-Ks (Apple, Microsoft, Meta, Alphabet, Netflix, Disney, AT&T, Comcast, etc.) – great for industry structure and segment-level metrics.
  • Recent TMT Deals – compile a list of notable transactions (e.g., semiconductor M&A, cloud/SaaS consolidation, media streaming mergers, tower/fiber deals) with rationale and valuation multiples.
 

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