Certara (CERT) Non Operating Interest Expenses (2020 - 2026)
Certara's Non Operating Interest Expenses was $4.99 million in Q2 2026, up 3.9% from $4.8 million a year earlier and up 0.9% from the prior quarter.
Certara (CERT) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Certara's Non Operating Interest Expenses was $20.06 million through Jun 30, 2026, up 1.3% year-over-year; for FY2025, it was $19.74 million, down 8.3% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $21.52 million in FY2024 (-6.1%), $22.92 million in FY2023 (+28.9%), $17.77 million in FY2022 (+5.6%) and $16.84 million in FY2021 (-33.4%).
- Quarterly Non Operating Interest Expenses has moved between $3.23 million (Q1 2022) and $5.9 million (Q3 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 69.6%); the worst was Q3 2021 (a decline of 44.5%).
- Per Business Quant data, CERT's Non Operating Interest Expenses in the three quarters before Q2 2026 was $4.94 million (Q1 2026), $5.12 million (Q4 2025) and $5.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Certara | 1.39 Bn | 696.59 Mn | 58.15 Mn | 4.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.99 Mn |
| Mar 31, 2026 | 4.94 Mn |
| Dec 31, 2025 | 5.12 Mn |
| Sep 30, 2025 | 5.01 Mn |
| Jun 30, 2025 | 4.80 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 5.19 Mn |
| Jun 30, 2024 | 5.58 Mn |
| Mar 31, 2024 | 5.75 Mn |
| Dec 31, 2023 | 5.87 Mn |
| Sep 30, 2023 | 5.90 Mn |
| Jun 30, 2023 | 5.67 Mn |
| Mar 31, 2023 | 5.48 Mn |
| Dec 31, 2022 | 5.45 Mn |
| Sep 30, 2022 | 5.22 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 3.23 Mn |
| Dec 31, 2021 | 3.29 Mn |
| Sep 30, 2021 | 3.29 Mn |
Certara Non Operating Interest 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=non-operating-interest-expenses&ticker=CERT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CERT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();