Short answer. A synergy capture rate is the share of modelled synergies that reaches cash. In the software deal we track line by line, 57 percent of the modelled run rate was realised gross by month 12 and 48 percent after dis-synergies. Cost lines landed at 80 to 92 percent, cross-sell at 23 percent.
Every acquisition is priced on a synergy number, and almost every post-close review argues about how much of it arrived. The argument is rarely about the work. It is about arithmetic: which denominator counts, whether one-time integration costs belong in the calculation, and whether churn in the acquired base gets netted out or reported separately. Two teams can look at the same integration and honestly report 70 percent capture and 45 percent capture.
This page fixes the arithmetic first, then shows what capture rates look like across sectors and deal structures. For the process that produces the number, see our 100-day integration playbook; for the model that sets it, see how to model M&A synergies.
What a synergy capture rate is, and why the denominator decides the answer
The capture rate is realised synergy divided by modelled synergy. The numerator is usually the honest part, because it comes from the ledger. The denominator is where reporting drifts, and there are three candidates for it:
- The number that set the price. Synergies as underwritten at signing. This is the only denominator that answers the question owners actually care about, which is whether the premium was earned.
- The revised post-close baseline. Re-forecast once the integration team sees the real systems. Useful for managing the program, useless for judging the deal, because it moves.
- Run-rate at a chosen date. Annualised from a good month. It flatters, because it extrapolates the best quarter of a two-year program.
Two more choices matter as much as the denominator. One-time cost to achieve, meaning migration work, retention bonuses, and parallel systems, should sit outside the rate and be reported as an investment against it, because folding it in hides whether the run-rate savings are real. Dis-synergies, meaning revenue lost because the deal happened, must be netted, not footnoted. Gross capture with churn in a footnote is the most common way a miss gets reported as a win. The bridge from one to the other is set out in gross versus net synergies.
Our house rule: measure against the number that set the price, keep cost to achieve visible on its own line, and net dis-synergies inside the rate.
Capture rates by synergy line: what our tracked deal shows
Rates are a function of control, not of ambition. The table below is the deal scorecard we use as our own reference: a $180M acquisition of a $30M-ARR SaaS company, underwritten on $12M of annual synergies, measured 12 months after close against the signing model.
| Synergy line | Modelled run-rate | Realised by month 12 | Capture rate | Who controls it |
|---|---|---|---|---|
| Cloud and infrastructure consolidation | $2.5M | $2.3M | 92% | Acquirer |
| Duplicate G&A and tooling | $2.0M | $1.6M | 80% | Acquirer |
| Vendor and contract renegotiation | $1.0M | $0.8M | 80% | Acquirer and counterparties |
| Pricing and packaging uplift | $2.5M | $1.2M | 48% | Customers, with notice periods |
| Cross-sell to the combined base | $4.0M | $0.9M | 23% | Customers |
| Gross realised | $12.0M | $6.8M | 57% | |
| Dis-synergies (churn and attrition) | n/a | -$1.0M | n/a | Customers |
| Net run-rate | $12.0M | $5.8M | 48% |
Read the last column first. The three lines the acquirer controls landed between 80 and 92 percent. The two that depend on customer decisions landed at 48 and 23 percent, and the largest single line in the model returned less than a quarter of what it promised. That ordering is stable across the software deals we see, which is why a capture rate is mostly a statement about the mix of a synergy model rather than about execution quality. A model weighted to cross-sell will underperform a model weighted to infrastructure even when both teams execute well.
Across a full deal our working bands are 70 to 90 percent capture on cost synergies in software, 20 to 50 percent on revenue synergies, and 60 to 70 percent of the total modelled number ever booked. The full derivation sits in our synergy capture guide for software and high tech.
Why the industry label changes the rate
Search demand for this topic arrives sector by sector: high tech, software, entertainment, media, cable, telecom, healthcare, pharma. The sector does not change the arithmetic, but it changes two inputs that drive the result: what the modelled number leans on, and what has to clear before capture can start at all. Where the gate opens late, the rate measured at month 12 is low even when the deal is fine, which is the single most common misreading of a capture report.
| Sector | What the modelled number usually leans on | What must clear before capture starts | What most often fails to reach cash | Basis |
|---|---|---|---|---|
| Software and SaaS | Infrastructure and tooling overlap, then cross-sell into recurring contracts | Close | Cross-sell, and pricing moves that trigger cancellations | Our deal data |
| High tech and semiconductors | R&D consolidation, supply-chain scale, shared IP | Antitrust review, which can end the deal before capture begins | Ecosystem bundling revenue, on a 24 to 36 month clock | Our bands, software-adjacent |
| Media and entertainment | Content library value and the rights attached to it | Contract review for change-of-control and reversion clauses | Rights and talent commitments that do not transfer with the asset | Structural, not our benchmark |
| Cable and telecom | Overlapping network footprint and subscriber density | Regulatory clearance, with holding costs running during the wait | Field-operations savings deferred past the measurement window | Structural, not our benchmark |
| Healthcare and pharma | Pipeline value and R&D consolidation rather than run-rate cost | Trial and approval milestones outside the acquirer's control | Milestone-dependent value, which is timing risk rather than capture failure | Structural, not our benchmark |
The basis column is not decoration. We underwrite software and SaaS businesses, so that row carries our own tracked numbers and the high-tech row carries bands we can defend from adjacent deals. The last three rows describe mechanisms we can evidence, not capture percentages we have measured. Anyone publishing precise capture rates for pharma or cable without deal data behind them is guessing, and a guessed benchmark in a board pack is worse than no benchmark. What travels across all five rows is the process, and that is covered sector by sector in the integration playbook.
The 2026 mix problem: fewer deals, bigger deals, more carve-outs
Two things about the current market change what a capture rate means. First, deal values are running well ahead of volumes. PwC's 2026 mid-year outlook for technology, media and telecommunications reports TMT deal values up 48 percent to $472bn over the first five months of 2026 while volumes fell 9 percent, with technology accounting for 85 percent of TMT volume and 15 of the 16 megadeals above $5bn. Fewer, larger transactions mean integration programs that run longer than any 12-month measurement window, so a low rate at month 12 says more about the clock than the thesis.
Second, the structure is shifting toward separations. In KPMG's 2026 Global M&A Outlook, a survey of 700 senior dealmakers across 20 countries and 10 sectors, 56 percent expect a larger pipeline than in 2025 and 50 percent anticipate a moderate to significant increase in carve-out activity over the next 12 to 24 months, with only 6 percent expecting a decline. Private equity plans a mean of 7.3 deals against 5.2 for corporates.
Carve-outs break the standard capture calculation in two specific ways, and both are arithmetic rather than execution. Transition services keep the carved-out business dependent on the seller's systems, so cost synergies that look available on paper cannot be banked until the transition agreement ends, which pushes real capture past the first measurement window by design. And separation leaves stranded cost behind, meaning overhead that supported the divested unit and does not disappear when it goes. Model a carve-out on the same capture curve as a bolt-on acquisition and the number will miss for reasons that were visible before signing.
How to compute your own capture rate in one page
Five steps, one page, no software required. Fix the denominator to the signing model, list every synergy line with an owner, measure the run-rate month, net the dis-synergies, and keep cost to achieve on its own line.
- Freeze the denominator. Copy the synergy lines from the model that set the price. Do not update it later. A moving denominator is how a miss disappears.
- Split by control. Tag each line acquirer-controlled, counterparty-dependent, or customer-dependent. This alone predicts most of the outcome.
- Measure a real month, then annualise. Take the most recent complete month of actuals, annualise it, and record the month you used. Comparing a good quarter to a signing model is not a capture rate.
- Net the dis-synergies. Churn in the acquired base, discounts given to keep accounts, and revenue lost to overlap all come off the numerator. If deferred revenue was written down at close, check the deferred revenue haircut before comparing reported revenue to the model.
- Report cost to achieve separately. One-time integration spend belongs beside the rate, not inside it, expressed as dollars invested per dollar of run-rate captured.
On our scorecard the arithmetic runs: $6.8M gross, less $1.0M dis-synergies, gives $5.8M net against a $12.0M signing model, so 48 percent. An acquirer that capitalised the full $12M into the price paid for value arriving at 48 cents on the dollar. Priced on the $5.8M a scorecard defends, the same deal earns its premium.
The EBITCAC test: was the captured synergy worth the capital?
A capture rate tells you what arrived. It does not tell you what it cost to make it arrive, and revenue synergies are where that distinction bites. Cross-sell into an acquired base is usually delivered by spending on sales and marketing, which is why our EBITCAC framework treats customer acquisition cost as capital expenditure rather than operating noise. Applied to an integration, the test is a single question: did the revenue synergy arrive as capture, or as re-acquisition?
Re-acquisition is the failure that hides inside a respectable-looking rate. A team loses part of the acquired base during transition, then spends acquisition budget to win comparable customers, and books the recovered revenue as cross-sell capture. Revenue is flat, the rate looks acceptable, and the capital that bought those customers the first time is gone. Every churned customer from the acquired base is destroyed acquisition capital, which is the argument made in full in our note on dis-synergies.
Two checks make this concrete. Track net revenue retention of the acquired cohort against the acquirer's own base twelve months out; a cohort holding above 90 percent and expanding means the combination is working. Then compare acquisition spend in the integration period against the revenue synergy booked in the same window. If the two move together, the synergy is spend rather than capture. Our stage benchmarks for reading that ratio are in what is a good EBITCAC.
What a defensible capture assumption looks like before signing
The point of measuring capture rates is to underwrite better, not to grade the integration team. Three assumptions hold up in a diligence room. Price the deal on cost synergies and treat revenue synergies as upside, because that is what the control column predicts. Give the model the clock the sector actually runs on, which is 12 to 18 months to run-rate in software and 24 to 36 in hardware-heavy deals. And put a named owner and a date on every line, since a line without an owner captures at close to zero regardless of sector.
Where the seller wants credit for revenue synergies the buyer cannot control, the structure is a better answer than the model. That is what an earnout is for: it moves the disputed portion of the number into a payment that follows the outcome instead of a premium that precedes it.
Funding the capture gap without dilution
Capture costs money before it saves any. Migration, retention bonuses, and parallel systems run in year one, while most savings arrive in years two and three, so the gap between the two is a working-capital problem rather than a growth-equity problem. A profitable combined business with recurring revenue can usually finance that gap against its own cash flows. Where the capture plan is credible and the cost to achieve is scoped, non-dilutive financing matches the cost of capital to an asset that pays back on a schedule, without repricing equity at the least favourable moment of the integration. Whether that fits any particular deal depends on the numbers, and it is the sort of case we look at directly.
Frequently asked questions
What is a good synergy capture rate?
Judged against the signing model and net of dis-synergies, 60 to 70 percent across a full software deal is a solid outcome, and our own tracked scorecard came in at 48 percent net at month 12 because cross-sell carried the largest share of the model. Cost-only programs should clear 70 to 90 percent. Rates above 90 percent across a whole deal usually indicate a moved denominator rather than exceptional execution.
Do synergy capture rates differ by industry?
The arithmetic does not change, but two inputs do: what the modelled number leans on, and what has to clear before capture can begin. Software capture starts at close, high-tech deals wait on antitrust review, media deals wait on contract review for change-of-control clauses, and cable and telecom wait on regulatory clearance. A rate measured at month 12 penalises the sectors whose gate opens late.
Should one-time integration costs be included in the capture rate?
No. Keep cost to achieve on its own line, reported as dollars invested per dollar of run-rate captured. Netting one-time spend against run-rate savings mixes two different things and hides whether the savings will persist after the program ends.
Why are carve-out capture rates lower than acquisition capture rates?
Because transition services keep the carved-out business on the seller's systems, so the consolidation savings in the model cannot be banked until the transition agreement ends, and separation leaves stranded overhead behind on the seller's side. Both effects are visible before signing, which means the fix is the model rather than the integration.
How do you tell a captured revenue synergy from re-acquired revenue?
Compare acquisition spend during the integration window with the revenue synergy booked in the same window, and track net revenue retention of the acquired cohort separately from the acquirer's base. If spend and synergy move together while the acquired cohort shrinks, the number is re-acquisition rather than capture.
