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FundraisingJuly 11, 2026·10 min read·

Series A in 2026: Median Check Size, Valuations, and What Investors Want

$15M median round on a $78.7M post-money valuation (up 37% YoY), $2.5M-$3M median ARR bar, and 18-25% dilution — the real 2026 Series A benchmarks by sector.

TC
Trace Cohen
Co-Founder & GP at Six Point Ventures · 3x founder (BrandYourself, Launch.it, SPOT) · 65+ investments · Based in Boca Raton, FL
@Trace_Cohen·t@nyvp.com·South Florida Advisory
65+Investments3xFounder$200M+Funds Tracked
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Quick Answer

The median Series A round in 2026 is $15M on a $78.7M post-money valuation, up 37% year-over-year, per Carta and PitchBook data. Investors expect $2.5M-$3M in ARR with 100%+ YoY growth for B2B SaaS, though AI companies raise 30-38% larger rounds at $51.9M average with 18-25% dilution.

The median Series A round in 2026 is $15M on a $78.7M post-money valuation, up 37% year-over-year. That's the short answer. The longer answer is that the median hides a market split almost entirely down the middle between AI and everyone else.

A B2B SaaS founder raising $10M on a $40M pre-money valuation and an AI infrastructure founder raising $40M on a $120M pre-money valuation are both closing a "median" Series A in 2026 — the aggregate number just averages two very different fundraising realities into one headline figure. We track this split in real time, and it's the single biggest thing founders get wrong when they benchmark their own round against last year's TechCrunch headline.

$15M
up from ~$10-12M in 2024
Median Series A Round
$78.7M
+37% YoY
Median Post-Money Valuation
$2.5-3M
+75% vs. 2021 bar
Median ARR Required (B2B SaaS)
$51.9M
~30-38% above non-AI
AI Series A Average Round

Figures are 2026 estimates blended from Carta's Series A fundraising data, PitchBook's Q1-Q2 2026 valuation reports, and CRV's Series A metrics survey. Round size and ARR figures represent medians across tracked US venture deals and will shift as more Q3 2026 data is reported.

Series A Funding in 2026: The Median Check Size Explained

The median Series A round in 2026 is $15M, raised at a median post-money valuation of $78.7M — up 37% year-over-year, per Carta and PitchBook data. The typical range runs $10M-$20M, with top-quartile deals landing $15M-$25M from a single lead investor, and pre-money valuations of $40M-$55M for most non-AI sectors.

That's a real increase from the roughly $10M-$12M median that persisted through 2023 and 2024, and it's happening for a specific reason: fewer companies are raising Series A rounds at all, but the ones that clear the bar are further along and better capitalized than the 2022-2023 cohort. Carta's data shows Series A conversion from seed has compressed hard — well under half of seed-stage companies now raise a Series A within three years, which is a big part of why the ones that do are commanding bigger checks and richer valuations. That selection effect, more than a broad market recovery, explains most of the headline growth.

Series A Valuations by Sector: AI vs. Everyone Else

SectorPre-Money ValuationTypical Round SizeMedian ARR BarGrowth ExpectationTypical Dilution
AI / AI Infrastructure$50M-$150M$20M-$50M+$1M-$3M150%+ YoY15-22%
B2B SaaS$25M-$50M$10M-$20M$2.5M-$3M100%+ YoY18-25%
Fintech$20M-$40M$8M-$14M$2M-$4M80-100% YoY18-25%
Consumer$20M-$35M$8M-$14MN/A (DAU/MAU-based)40%+ MoM early20-25%
Healthtech$25M-$45M$10M-$18M$1.5M-$3M80%+ YoY18-24%
Vertical SaaS$30M-$50M$10M-$18M$2M-$3.5M90-120% YoY18-24%
Deep Tech / Hardware$20M-$40M$8M-$20MMilestone-basedN/A15-20%

Figures are 2026 estimates blended from PitchBook's Q1-Q2 2026 Series A valuation reports, Carta's fundraising benchmarks, and CRV's Series A metrics survey of active investors. Ranges reflect the middle two quartiles of tracked deals; top-decile outcomes in AI regularly exceed the high end shown here.

What Investors Actually Want to See Before Leading a Series A

The ARR bar has moved up sharply. Median revenue at Series A reached roughly $2.5M in 2025 and has held near $2.5M-$3M through the first half of 2026 — about 75% higher than the $1.4M-$1.7M bar that was standard in 2021. Tier-one funds now typically want $3M+ ARR with 100%+ year-over-year growth before they'll lead, and net revenue retention has become a first-order filter: 100% NRR is treated as a bare floor, 110-120% is considered competitive, and 120%+ is what gets a term sheet issued in a single meeting.

Growth rate and durability, not just the ARR number, decide the outcome. A $2.5M ARR company growing 150% year-over-year with strong retention will out-compete a $4M ARR company growing 40% with flat retention in almost every partner meeting in 2026. Investors have gotten more sophisticated about distinguishing revenue quality — expansion revenue from existing accounts, gross margin, and payback period on customer acquisition cost — from raw top-line ARR, largely because the 2021-2022 vintage taught the market that ARR alone doesn't predict Series B-readiness.

Timeline matters too: the median Series A in 2026 takes about 14 weeks of active process (first term sheet conversation to close), including 4-6 weeks of diligence and 4-6 weeks of legal documentation. But founders should plan for 6-9 months end-to-end once you include relationship-building, since most Series A leads say they'd been tracking the company for months before the formal process started. You can benchmark your own metrics against live fund performance data on our VC performance dashboard and see how current-vintage funds are actually deploying capital at this stage.

AI vs. Non-AI Series A: Round Size and Dilution

Average round size ($M)
AI Series A
51.9
Non-AI Series A (blended)
13

PitchBook, Carta, CRV Series A metrics survey, 2026

Why Series A Dilution Hasn't Changed Much Even as Round Sizes Grow

Typical Series A dilution in 2026 sits at 18-25%, roughly in line with seed-stage dilution of 19-20% and largely unchanged from prior years despite median round sizes and valuations both climbing. That's because valuations have scaled roughly in proportion to round size — a $15M round on a $60M pre-money produces about 20% dilution, the same math as a $10M round on a $40M pre-money three years ago. Competitive, oversubscribed rounds with a single strong lead can close as low as 15-18% dilution; rounds that stack multiple investors, take longer to close, or come with structure (participating preferred, higher liquidation preferences) can push effective dilution to 28% or more.

The practical takeaway for founders: dilution discipline matters more than chasing the highest possible valuation. A founder who takes a lower valuation from a single decisive lead at 18% dilution is often better positioned than one who spends four extra months assembling a syndicate to justify a higher number and ends up at 27% dilution plus a longer, more distracting process. Our benchmarking dashboard lets you compare your own round structure against the current data set rather than against outdated 2021 assumptions.

Series A Funding in 2026: What This Means for Founders Right Now

If you're a non-AI B2B SaaS company, benchmark yourself against $2.5M-$3M ARR, 100%+ growth, and a $25M-$50M pre-money — not against the AI-inflated $78.7M median post-money headline. If you're building in AI, the bar is different: investors will tolerate a lower absolute ARR number in exchange for steeper growth and technical differentiation, but they're also pricing in scarcity, which is why AI Series A rounds average $51.9M against $13M for the rest of the market.

The single biggest mistake we see founders make right now is anchoring their fundraise target to a comparable company's 2021 round instead of 2026 data. The bar for ARR, growth, and retention has moved up by roughly 75% in four years, while dilution expectations have stayed flat — which means the cost of raising the same percentage of your company has gone up in absolute revenue terms even if the equity math looks similar on paper.

Common Series A Fundraising Mistakes in 2026

The most expensive mistake founders make is starting the process too early relative to their metrics. Going out to raise at $1.5M ARR with 60% growth when the median bar has moved to $2.5M-$3M with 100%+ growth doesn't just fail to close — it burns the relationships with the 15-20 institutional investors you'll need for your eventual round, since most funds track a company for months before writing a check and remember a premature pitch. A better sequence is running a tight pre-raise diligence pass on your own numbers, closing the gap to the median bar with 60-90 days of focused execution, and only then opening the formal process.

The second mistake is over-optimizing for headline valuation instead of investor quality and round structure. A $90M post-money from a lead who won't engage after the wire clears is worth less than a $65M post-money from a lead who opens their network for the next 18 months, sits on the board constructively, and has capital reserved for your Series B. We see this trade-off get made wrong constantly in 2026, where founders chase an extra 15-20% on valuation and end up with a cap table that's harder to manage and a lead investor with no conviction to follow on.

The third mistake is treating AI-sector comparables as the market when you're not an AI company. Founders in fintech, vertical SaaS, or consumer routinely benchmark their round against a $50M-$150M AI pre-money and either underprice their own equity out of insecurity or overreach and stall out a process because the number doesn't match what non-AI investors are actually underwriting in 2026. Know which comp set your company actually belongs to before you set a target valuation, and build your data room around the metrics — ARR, NRR, growth rate, CAC payback — that your specific sector's investors are filtering on.

Finally, don't ignore round construction. A $15M round split $12M priced equity plus $3M venture debt can preserve 3-5 percentage points of dilution versus an all-equity $15M raise, and more Series A companies used debt as a dilution-management tool in 2026 than in any prior year as venture debt providers loosened terms for companies with $2M+ ARR and clean unit economics. It's not free money — covenants and warrants still cost something — but for a capital-efficient company it's frequently the highest-leverage lever available at this stage.

Bottom line: The median Series A in 2026 is a $15M round on a $78.7M post-money valuation, up 37% year-over-year, but that headline number blends two distinct markets — AI companies averaging $51.9M rounds at $50M-$150M pre-money, and everyone else raising $8M-$20M at $20M-$50M pre-money on a $2.5M-$3M ARR bar. Dilution has stayed roughly flat at 18-25% even as absolute dollar figures climbed, which means the real story of Series A 2026 isn't cheaper equity — it's a higher revenue and growth bar to clear before you get in the room at all.

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Frequently Asked Questions

What is the median Series A round size in 2026?

The median Series A round in 2026 is $15M, up from roughly $10M-$12M in 2024, on a median post-money valuation of $78.7M (up 37% year-over-year), per Carta and PitchBook data. The typical range runs $10M-$20M, with pre-money valuations of $40M-$55M for most sectors and $50M-$150M for AI companies specifically.

How much ARR do you need to raise a Series A in 2026?

Most B2B SaaS companies need $2.5M-$3M in ARR with 100%+ year-over-year growth to raise a competitive Series A in 2026, up roughly 75% from the $1.4M-$1.7M bar in 2021. Tier-one funds increasingly want $3M+ ARR with strong net revenue retention (110-120%+) before leading a round, and AI companies face a lower revenue bar but a higher growth-rate bar given the sector's 81% share of Q1 2026 global venture dollars.

How much dilution should founders expect at Series A?

Typical Series A dilution in 2026 runs 18-25%, similar to seed-stage dilution of roughly 19-20%. Competitive, oversubscribed rounds with a single strong lead investor can close at 15-18% dilution, while rounds that stack multiple investors or take longer to close can push dilution to 28% or higher.

Why are AI startups raising bigger Series A rounds than non-AI startups?

AI startups raised an average $51.9M Series A in 2026, roughly 30-38% above non-AI counterparts, with median post-money valuations of $120M-$250M and pre-money valuations of $50M-$150M versus $25M-$50M for typical B2B SaaS. Because AI companies captured 81% of global venture funding in Q1 2026, investors are pricing in both scarcity of allocation and the higher compute costs AI startups carry relative to traditional software margins.

How long does it take to close a Series A in 2026?

The median Series A in 2026 takes about 14 weeks of active process from first term sheet conversation to close, but founders should plan for 6-9 months end-to-end once relationship-building and pre-pitch positioning are included. That breaks down to roughly 2-3 months of relationship building, 4-6 weeks of active pitching and diligence, and another 4-6 weeks of legal documentation to close.

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Trace Cohen is a serial founder, investor and data geek. Please feel free to reach out t@nyvp.com

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