Certara (CERT) Total Liabilities (2020 - 2026)
Certara (CERT) posted Total Liabilities of $433.28 million for Q2 2026, down 8.4% from $472.87 million a year earlier and down 10.4% from the prior quarter.
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Analysis
Certara (CERT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Certara's Total Liabilities came in at $493.79 million, down 4.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Certara's Total Liabilities was $516.45 million in FY2024 (unchanged), $516.3 million in FY2023 (+4.7%), $493.26 million in FY2022 (+5.0%) and $469.88 million in FY2021 (+5.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 5.3%; the weakest was Q2 2026, with a decline of 8.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $483.32 million (Q1 2026), $493.79 million (Q4 2025) and $471.05 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 | Certara | 1.39 Bn | 696.59 Mn | 58.15 Mn | 433.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 433.28 Mn |
| Mar 31, 2026 | 483.32 Mn |
| Dec 31, 2025 | 493.79 Mn |
| Sep 30, 2025 | 471.05 Mn |
| Jun 30, 2025 | 472.87 Mn |
| Mar 31, 2025 | 476.73 Mn |
| Dec 31, 2024 | 516.45 Mn |
| Sep 30, 2024 | 489.82 Mn |
| Jun 30, 2024 | 496.21 Mn |
| Mar 31, 2024 | 488.02 Mn |
| Dec 31, 2023 | 516.30 Mn |
| Sep 30, 2023 | 475.07 Mn |
| Jun 30, 2023 | 475.05 Mn |
| Mar 31, 2023 | 481.70 Mn |
| Dec 31, 2022 | 493.26 Mn |
| Sep 30, 2022 | 454.30 Mn |
| Jun 30, 2022 | 453.37 Mn |
| Mar 31, 2022 | 458.62 Mn |
| Dec 31, 2021 | 469.88 Mn |
| Sep 30, 2021 | 443.47 Mn |
API Access
Certara 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=CERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();