Certara (CERT) Total Non-Current Liabilities (2020 - 2026)
Certara (CERT) reported Total Non-Current Liabilities of $429.87 million for Q2 2026, down 8.2% from $468.51 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Certara (CERT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Certara posted Total Non-Current Liabilities of $488.67 million, down 0.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $491.15 million in FY2024 (+2.9%), $477.09 million in FY2023 (+1.3%), $471.14 million in FY2022 (+0.3%) and $469.86 million in FY2021 (+5.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 6.5%); the low point was Q2 2026 (a decline of 8.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $479.26 million (Q1 2026), $488.67 million (Q4 2025) and $466.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Certara | 1.39 Bn | 696.59 Mn | 58.15 Mn | 429.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 429.87 Mn |
| Mar 31, 2026 | 479.26 Mn |
| Dec 31, 2025 | 488.67 Mn |
| Sep 30, 2025 | 466.73 Mn |
| Jun 30, 2025 | 468.51 Mn |
| Mar 31, 2025 | 450.13 Mn |
| Dec 31, 2024 | 491.15 Mn |
| Sep 30, 2024 | 464.91 Mn |
| Jun 30, 2024 | 472.67 Mn |
| Mar 31, 2024 | 447.78 Mn |
| Dec 31, 2023 | 477.09 Mn |
| Sep 30, 2023 | 448.96 Mn |
| Jun 30, 2023 | 457.02 Mn |
| Mar 31, 2023 | 458.31 Mn |
| Dec 31, 2022 | 471.14 Mn |
| Sep 30, 2022 | 452.87 Mn |
| Jun 30, 2022 | 451.98 Mn |
| Dec 31, 2021 | 469.86 Mn |
| Sep 30, 2021 | 442.78 Mn |
| Jun 30, 2021 | 430.14 Mn |
API Access
Certara Total Non-Current 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-non-current-liabilities&ticker=CERT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();