Claritev (CTEV) Non Operating Interest Expenses (2020 - 2026)
Claritev's Non Operating Interest Expenses came in at $100.25 million for Q2 2026, up 0.5% from $99.75 million a year earlier and up 0.7% from the prior quarter.
Claritev (CTEV) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Claritev reported Non Operating Interest Expenses of $400.44 million, up 13.0% year-over-year; for FY2025, it came in at $392.02 million, up 20.1% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $326.37 million in FY2024 (-2.1%), $333.21 million in FY2023 (+9.8%), $303.4 million in FY2022 (+13.4%) and $267.48 million in FY2021 (-20.3%).
- The five-year range for quarterly Non Operating Interest Expenses is $67.51 million (Q3 2021) to $101.23 million (Q3 2025).
- Year-over-year, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2025 (growth of 23.8%), and the weakest in Q3 2021 (a decline of 17.9%).
- Business Quant data shows CTEV's Non Operating Interest Expenses at $99.54 million (Q1 2026), $99.41 million (Q4 2025) and $101.23 million (Q3 2025) in the three quarters before Q2 2026.
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 | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Claritev | 358.70 Mn | 273.76 Mn | 189.81 Mn | 100.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.25 Mn |
| Mar 31, 2026 | 99.54 Mn |
| Dec 31, 2025 | 99.41 Mn |
| Sep 30, 2025 | 101.23 Mn |
| Jun 30, 2025 | 99.75 Mn |
| Mar 31, 2025 | 91.64 Mn |
| Dec 31, 2024 | 81.25 Mn |
| Sep 30, 2024 | 81.79 Mn |
| Jun 30, 2024 | 81.13 Mn |
| Mar 31, 2024 | 82.20 Mn |
| Dec 31, 2023 | 83.01 Mn |
| Sep 30, 2023 | 84.30 Mn |
| Jun 30, 2023 | 82.48 Mn |
| Mar 31, 2023 | 83.43 Mn |
| Dec 31, 2022 | 82.17 Mn |
| Sep 30, 2022 | 77.09 Mn |
| Jun 30, 2022 | 72.70 Mn |
| Mar 31, 2022 | 71.45 Mn |
| Dec 31, 2021 | 72.24 Mn |
| Sep 30, 2021 | 67.51 Mn |
Claritev 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=CTEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CTEV", "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=CTEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();