Civeo (CVEO) Total Current Liabilities (2013 - 2026)
Civeo (CVEO) reported Total Current Liabilities of $85.79 million for Q2 2026, down 7.0% from $92.24 million a year earlier but up 5.8% from the prior quarter.
Civeo (CVEO) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Civeo posted Total Current Liabilities of $84.94 million, down 8.3% from FY2024.
- Total Current Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $92.65 million in FY2024 (-18.9%), $114.24 million in FY2023 (-10.9%), $128.26 million in FY2022 (-6.3%) and $136.92 million in FY2021 (+17.3%).
- Five-year quarterly Total Current Liabilities spans a low of $81.07 million in Q1 2026 and a high of $136.95 million in Q3 2021.
- Year over year, Total Current Liabilities has now declined in each of the last 11 quarters, with an average decline of 10.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 28.2%); the low point was Q3 2025 (a decline of 19.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81.07 million (Q1 2026), $84.94 million (Q4 2025) and $85.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Civeo | 354.11 Mn | 290.51 Mn | 41.41 Mn | 85.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.79 Mn |
| Mar 31, 2026 | 81.07 Mn |
| Dec 31, 2025 | 84.94 Mn |
| Sep 30, 2025 | 85.53 Mn |
| Jun 30, 2025 | 92.24 Mn |
| Mar 31, 2025 | 81.15 Mn |
| Dec 31, 2024 | 92.65 Mn |
| Sep 30, 2024 | 106.84 Mn |
| Jun 30, 2024 | 98.09 Mn |
| Mar 31, 2024 | 92.85 Mn |
| Dec 31, 2023 | 114.24 Mn |
| Sep 30, 2023 | 125.29 Mn |
| Jun 30, 2023 | 102.68 Mn |
| Mar 31, 2023 | 103.22 Mn |
| Dec 31, 2022 | 128.26 Mn |
| Sep 30, 2022 | 117.72 Mn |
| Jun 30, 2022 | 119.35 Mn |
| Mar 31, 2022 | 119.15 Mn |
| Dec 31, 2021 | 136.92 Mn |
| Sep 30, 2021 | 136.95 Mn |
Civeo Total 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-current-liabilities&ticker=CVEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CVEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();