The State of GovCon Recompetes 2026

For most established GovCon firms, recompetes — not new programs — are the single largest source of capturable revenue. New program starts get attention because they're shiny and well-publicized, but they represent a small share of annual contract obligations. The vast majority of federal services spend flows through ongoing IDIQs, BPAs, and follow-on contracts that come up for recompete every 5-7 years.

What makes recompetes especially valuable is information density. Unlike a greenfield opportunity where requirements are vague and competitive landscape is unclear, a recompete has a paper trail — the incumbent's contract history, modifications, CPARS proxies, protest record, and pricing benchmarks are all public or partly public. That information lets capture teams build a defensible bid/no-bid decision long before the RFP drops.

The asymmetry of information advantage is why incumbent firms keep most of their recompetes — they know the requirement, the customer, and the modification history better than any challenger. But the same information is increasingly available to challengers through systematic intelligence collection. The 37% of recompetes that flip to new primes are the addressable market for any firm willing to do the work.

Lead time matters. Across the data set, contracts where the capture investment began inside 12 months of recompete had win rates of 11% — barely above random. Investments starting 18-24 months out had win rates of 38% for challengers. The data is clear: recompete capture is a long game.

Agency timing varies. DoD recompetes tend to have longer pre-RFP visibility (forecast tools, industry days, draft RFPs released early). Civilian agencies like HHS and VA often run more compressed schedules, with less pre-RFP signaling — making early intelligence work even more valuable for those pursuits.

Option year exercise patterns are a leading indicator. Contracts where the government skips an option year (or exercises only a partial option) signal incumbent dissatisfaction. In the data set, contracts with skipped or partial options had incumbent loss rates of 51% — significantly higher than the 37% baseline.

Aliff's six-factor vulnerability model identifies incumbents at elevated risk of losing recompetes. The signals are: (1) performance — CPARS proxies, on-time delivery, modification patterns; (2) protests — frequency and outcomes of protests filed against or by the incumbent; (3) pricing — labor rate trends, wrap rate competitiveness; (4) relationships — key personnel turnover, COR changes; (5) contract health — modification volume, scope creep, dispute patterns; (6) market dynamics — competitive landscape changes, technology shifts.

On average, recompete losses showed 4.2 visible weakness signals 18 months before the loss. Contracts that retained the incumbent averaged 1.1 visible signals. The differential is statistically significant and operationally useful — it means a well-instrumented capture team can identify vulnerable incumbents well before the RFP, while there's still time to invest in customer relationships, capability building, and teaming.

For firms with limited BD bandwidth, the discipline implication is straightforward: focus the pipeline on recompetes where the incumbent shows elevated vulnerability signals AND your firm has a credible capability fit. Speculation on greenfield opportunities is rarely the highest-EV use of capture investment for a firm with 5-20 active pursuits.

The corollary: defend your own recompetes aggressively. Most incumbent losses are foreseeable 12-24 months out. Vulnerability signals you generate (CPARS issues, key personnel attrition, pricing drift) are visible to your competitors using the same data sources. The defensive playbook is to monitor your own signals, fix what's fixable, and over-invest in customer relationships during the 18 months before recompete.

Pricing strategy on recompetes is also data-rich. Historical labor rates, wrap rates, and modification patterns reveal the government's price ceiling. Challengers can use GSA CALC, USASpending, and similar sources to triangulate the incumbent's likely price and bid one penny below — the classic Price-to-Win playbook, executed with public data.