Civeo (CVEO) Short-Term Debt repayments (2015 - 2026)
Civeo (CVEO) recorded Short-Term Debt repayments of $231.04 million in Q2 2026, up 293.7% from $58.69 million a year earlier and up 42.4% from the prior quarter.
Civeo (CVEO) Short-Term Debt repayments (2015 - 2026) Analysis & Trends
On a TTM basis, Civeo's Short-Term Debt repayments came in at $476.94 million as of Jun 30, 2026, up 71.3% year-over-year; for FY2025, it came in at $197.3 million, down 34.5% from FY2024.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $301.43 million in FY2024 (+21.3%), $248.43 million in FY2023 (-15.2%), $293.08 million in FY2022 (-16.0%) and $348.8 million in FY2021 (-22.1%).
- The Q2 2026 figure is the highest quarterly Short-Term Debt repayments in data going back to Q4 2015.
- On a year-over-year basis, Short-Term Debt repayments rose in three of the last eight quarters, with growth averaging 47.1%.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 293.7% in Q2 2026, against a decline of 65.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $162.28 million (Q1 2026), $34.67 million (Q4 2025) and $48.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | - |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | - |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | - |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | - |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Civeo | 299.67 Mn | 236.08 Mn | 41.41 Mn | 231.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.04 Mn |
| Mar 31, 2026 | 162.28 Mn |
| Dec 31, 2025 | 34.67 Mn |
| Sep 30, 2025 | 48.94 Mn |
| Jun 30, 2025 | 58.69 Mn |
| Mar 31, 2025 | 54.99 Mn |
| Dec 31, 2024 | 58.57 Mn |
| Sep 30, 2024 | 106.22 Mn |
| Jun 30, 2024 | 70.16 Mn |
| Mar 31, 2024 | 66.48 Mn |
| Dec 31, 2023 | 68.83 Mn |
| Sep 30, 2023 | 80.92 Mn |
| Jun 30, 2023 | 68.37 Mn |
| Mar 31, 2023 | 30.32 Mn |
| Dec 31, 2022 | 73.30 Mn |
| Sep 30, 2022 | 61.49 Mn |
| Jun 30, 2022 | 71.70 Mn |
| Mar 31, 2022 | 86.59 Mn |
| Dec 31, 2021 | 43.65 Mn |
| Sep 30, 2021 | 175.07 Mn |
Civeo Short-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=short-term-debt-repayments&ticker=CVEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "CVEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=CVEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();