EverCommerce (EVCM) Cash & Equivalents (2020 - 2026)
EverCommerce (EVCM) recorded Cash & Equivalents of $133.5 million in Q2 2026, down 11.6% from $151.06 million a year earlier but up 3.2% from the prior quarter.
EverCommerce (EVCM) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, EverCommerce reported Cash & Equivalents of $129.73 million, down 4.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $135.78 million in FY2024 (+46.6%), $92.61 million in FY2023 (unchanged), $92.63 million in FY2022 (-1.5%) and $93.99 million in FY2021 (-2.1%).
- Quarterly Cash & Equivalents has ranged from $69.79 million in Q1 2023 to $151.06 million in Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 22.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 74.2% in Q2 2025, against a decline of 47.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $129.32 million (Q1 2026), $129.73 million (Q4 2025) and $106.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | EverCommerce | 1.53 Bn | 1.03 Bn | 119.50 Mn | 133.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.50 Mn |
| Mar 31, 2026 | 129.32 Mn |
| Dec 31, 2025 | 129.73 Mn |
| Sep 30, 2025 | 106.90 Mn |
| Jun 30, 2025 | 151.06 Mn |
| Mar 31, 2025 | 148.41 Mn |
| Dec 31, 2024 | 135.78 Mn |
| Sep 30, 2024 | 101.57 Mn |
| Jun 30, 2024 | 86.70 Mn |
| Mar 31, 2024 | 89.98 Mn |
| Dec 31, 2023 | 92.61 Mn |
| Sep 30, 2023 | 87.34 Mn |
| Jun 30, 2023 | 83.07 Mn |
| Mar 31, 2023 | 69.79 Mn |
| Dec 31, 2022 | 92.63 Mn |
| Sep 30, 2022 | 91.47 Mn |
| Jun 30, 2022 | 105.23 Mn |
| Mar 31, 2022 | 101.20 Mn |
| Dec 31, 2021 | 93.99 Mn |
| Sep 30, 2021 | 95.59 Mn |
EverCommerce Cash & Equivalents 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=cash-and-equivalents&ticker=EVCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EVCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();