EverCommerce (EVCM) Operating Expenses (2020 - 2026)
EverCommerce (EVCM) reported Operating Expenses of $134.54 million for Q2 2026, up 1.8% from $132.21 million a year earlier but down 0.3% from the prior quarter.
EverCommerce (EVCM) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EverCommerce's Operating Expenses came in at $538.81 million, up 3.4% year-over-year; for FY2025, it was $529.66 million, down 1.2% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $535.98 million in FY2024 (-0.3%), $537.79 million in FY2023 (-17.4%), $651.34 million in FY2022 (+25.9%) and $517.33 million in FY2021 (+43.9%).
- Five-year quarterly Operating Expenses spans a low of $34.65 million in Q4 2023 and a high of $168.45 million in Q3 2023.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 32.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 278.3%); the low point was Q4 2023 (a decline of 79.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $134.89 million (Q1 2026), $137.86 million (Q4 2025) and $131.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | EverCommerce | 1.41 Bn | 908.07 Mn | 119.50 Mn | 134.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.54 Mn |
| Mar 31, 2026 | 134.89 Mn |
| Dec 31, 2025 | 137.86 Mn |
| Sep 30, 2025 | 131.51 Mn |
| Jun 30, 2025 | 132.21 Mn |
| Mar 31, 2025 | 128.07 Mn |
| Dec 31, 2024 | 131.06 Mn |
| Sep 30, 2024 | 129.95 Mn |
| Jun 30, 2024 | 132.82 Mn |
| Mar 31, 2024 | 142.15 Mn |
| Dec 31, 2023 | 34.65 Mn |
| Sep 30, 2023 | 168.45 Mn |
| Jun 30, 2023 | 168.27 Mn |
| Mar 31, 2023 | 166.42 Mn |
| Dec 31, 2022 | 165.47 Mn |
| Sep 30, 2022 | 165.38 Mn |
| Jun 30, 2022 | 163.35 Mn |
| Mar 31, 2022 | 157.14 Mn |
| Dec 31, 2021 | 141.40 Mn |
| Sep 30, 2021 | 132.60 Mn |
EverCommerce Operating Expenses 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=operating-expenses&ticker=EVCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EVCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();