Claritev (CTEV) Long-Term Debt Repayments (2020 - 2026)
Claritev (CTEV) recorded Long-Term Debt Repayments of $3.67 million in Q2 2026, unchanged from $3.67 million a year earlier and up 0.1% from the prior quarter.
Claritev (CTEV) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Claritev's Long-Term Debt Repayments came in at $14.69 million as of Jun 30, 2026, up 23.1% year-over-year; for FY2025, it came in at $11.02 million, down 26.0% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -50.5% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $14.89 million in FY2024 (-90.2%), $152.54 million in FY2023 (+52.5%), $100 million in FY2022 (-95.7%) and $2.34 billion in FY2021 (+535.3%).
- Quarterly Long-Term Debt Repayments has ranged from $3.31 million in Q2 2022 to $2.34 billion in Q3 2021 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last six quarters, with an average decline of 16.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 58.3% in Q4 2023, against a decline of 99.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.67 million (Q1 2026), $3.67 million (Q4 2025) and $3.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | - |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | - |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Claritev | 370.68 Mn | 279.02 Mn | 189.81 Mn | 3.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.67 Mn |
| Mar 31, 2026 | 3.67 Mn |
| Dec 31, 2025 | 3.67 Mn |
| Sep 30, 2025 | 3.67 Mn |
| Jun 30, 2025 | 3.67 Mn |
| Dec 31, 2024 | 4.95 Mn |
| Sep 30, 2024 | 3.31 Mn |
| Jun 30, 2024 | 3.31 Mn |
| Mar 31, 2024 | 3.31 Mn |
| Dec 31, 2023 | 142.60 Mn |
| Sep 30, 2023 | 3.31 Mn |
| Jun 30, 2023 | 3.31 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 90.06 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Jun 30, 2022 | 3.31 Mn |
| Mar 31, 2022 | 3.31 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 2.34 Bn |
| Dec 31, 2020 | 369.01 Mn |
Claritev Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CTEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CTEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();