Certara (CERT) Operating Expenses (2020 - 2026)
Certara's Operating Expenses came in at $58.35 million for Q2 2026, up 15.8% from $50.4 million a year earlier but down 16.2% from the prior quarter.
Powered by 
Analysis
Certara (CERT) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Certara reported Operating Expenses of $253.48 million, up 16.1% year-over-year; for FY2025, it came in at $236.7 million, up 1.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $232.36 million in FY2024 (-8.6%), $254.09 million in FY2023 (+49.0%), $170.55 million in FY2022 (+6.0%) and $160.91 million in FY2021 (-3.8%).
- The five-year range for quarterly Operating Expenses is $41.03 million (Q3 2022) to $102.48 million (Q3 2023).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 149.8%), and the weakest in Q4 2021 (a decline of 48.8%).
- Business Quant data shows CERT's Operating Expenses at $69.6 million (Q1 2026), $63.64 million (Q4 2025) and $61.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Certara | 1.39 Bn | 696.59 Mn | 58.15 Mn | 58.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.35 Mn |
| Mar 31, 2026 | 69.60 Mn |
| Dec 31, 2025 | 63.64 Mn |
| Sep 30, 2025 | 61.89 Mn |
| Jun 30, 2025 | 50.40 Mn |
| Mar 31, 2025 | 56.86 Mn |
| Dec 31, 2024 | 56.10 Mn |
| Sep 30, 2024 | 55.04 Mn |
| Jun 30, 2024 | 62.55 Mn |
| Mar 31, 2024 | 58.69 Mn |
| Dec 31, 2023 | 62.41 Mn |
| Sep 30, 2023 | 102.48 Mn |
| Jun 30, 2023 | 41.19 Mn |
| Mar 31, 2023 | 48.01 Mn |
| Dec 31, 2022 | 43.47 Mn |
| Sep 30, 2022 | 41.03 Mn |
| Jun 30, 2022 | 43.42 Mn |
| Mar 31, 2022 | 42.63 Mn |
| Dec 31, 2021 | 42.62 Mn |
| Sep 30, 2021 | 45.94 Mn |
API Access
Certara 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=CERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CERT", "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=CERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();