EverCommerce (EVCM) Total Liabilities (2020 - 2026)
EverCommerce (EVCM) recorded Total Liabilities of $649.16 million in Q2 2026, down 3.8% from $675.03 million a year earlier and down 0.8% from the prior quarter.
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Analysis
EverCommerce (EVCM) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, EverCommerce reported Total Liabilities of $654.92 million, down 2.3% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -17.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $670.44 million in FY2024 (-3.1%), $692.03 million in FY2023 (+1.0%), $685.04 million in FY2022 (+1.1%) and $677.73 million in FY2021 (-60.5%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2021.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 30.3% in Q3 2022, against a decline of 65.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $654.31 million (Q1 2026), $654.92 million (Q4 2025) and $674.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | EverCommerce | 1.41 Bn | 908.07 Mn | 119.50 Mn | 649.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 649.16 Mn |
| Mar 31, 2026 | 654.31 Mn |
| Dec 31, 2025 | 654.92 Mn |
| Sep 30, 2025 | 674.59 Mn |
| Jun 30, 2025 | 675.03 Mn |
| Mar 31, 2025 | 674.53 Mn |
| Dec 31, 2024 | 670.44 Mn |
| Sep 30, 2024 | 680.39 Mn |
| Jun 30, 2024 | 682.98 Mn |
| Mar 31, 2024 | 681.83 Mn |
| Dec 31, 2023 | 692.03 Mn |
| Sep 30, 2023 | 679.14 Mn |
| Jun 30, 2023 | 684.81 Mn |
| Mar 31, 2023 | 687.58 Mn |
| Dec 31, 2022 | 685.04 Mn |
| Sep 30, 2022 | 658.72 Mn |
| Jun 30, 2022 | 669.78 Mn |
| Mar 31, 2022 | 672.86 Mn |
| Dec 31, 2021 | 677.73 Mn |
| Sep 30, 2021 | 505.49 Mn |
API Access
EverCommerce Total Liabilities 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=total-liabilities&ticker=EVCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EVCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();