EverCommerce (EVCM) Shares Outstanding (2020 - 2026)
EverCommerce (EVCM) posted Shares Outstanding of 176.93 million for Q2 2026, down 3.1% from 182.6 million a year earlier and down 0.4% from the prior quarter.
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Analysis
EverCommerce (EVCM) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, EverCommerce's Shares Outstanding came in at 181.39 million, down 1.9% from FY2024.
- Annual Shares Outstanding has declined for three consecutive years, though with a five-year compound annual growth rate of 34.2% (FY2020 to FY2025).
- In prior years, EverCommerce's Shares Outstanding was 184.9 million in FY2024 (-2.1%), 188.94 million in FY2023 (-2.9%), 194.62 million in FY2022 (+65.2%) and 117.8 million in FY2021 (+182.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding since Q4 2021.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 14 quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2022, with growth of 352.1%; the weakest was Q2 2023, with a decline of 3.8%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 177.68 million (Q1 2026), 181.39 million (Q4 2025) and 180.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 46.70 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 404.10 Mn |
| 10 | EverCommerce | 1.53 Bn | 1.03 Bn | 119.50 Mn | 176.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.93 Mn |
| Mar 31, 2026 | 177.68 Mn |
| Dec 31, 2025 | 181.39 Mn |
| Sep 30, 2025 | 180.98 Mn |
| Jun 30, 2025 | 182.60 Mn |
| Mar 31, 2025 | 183.47 Mn |
| Dec 31, 2024 | 184.90 Mn |
| Sep 30, 2024 | 184.15 Mn |
| Jun 30, 2024 | 185.18 Mn |
| Mar 31, 2024 | 186.64 Mn |
| Dec 31, 2023 | 188.94 Mn |
| Sep 30, 2023 | 188.81 Mn |
| Jun 30, 2023 | 188.28 Mn |
| Mar 31, 2023 | 190.04 Mn |
| Dec 31, 2022 | 194.62 Mn |
| Sep 30, 2022 | 194.54 Mn |
| Jun 30, 2022 | 195.65 Mn |
| Mar 31, 2022 | 195.43 Mn |
| Dec 31, 2021 | 117.80 Mn |
| Sep 30, 2021 | 187.99 Mn |
API Access
EverCommerce Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=EVCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "EVCM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=EVCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();