Civeo (CVEO) Operating Expenses (2013 - 2026)
Civeo's Operating Expenses was $174.93 million in Q2 2026, up 9.4% from $159.89 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Civeo (CVEO) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Civeo's Operating Expenses was $669.75 million through Jun 30, 2026, up 3.6% year-over-year; for FY2025, it came in at $634.73 million, down 6.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $680.79 million in FY2024 (+2.9%), $661.32 million in FY2023 (-2.8%), $680.03 million in FY2022 (+15.6%) and $588.41 million in FY2021 (-13.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 0.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 19.3%); the worst was Q4 2023 (a decline of 11.9%).
- Per Business Quant data, CVEO's Operating Expenses in the three quarters before Q2 2026 was $169.54 million (Q1 2026), $161.76 million (Q4 2025) and $163.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Civeo | 354.11 Mn | 290.51 Mn | 41.41 Mn | 174.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.93 Mn |
| Mar 31, 2026 | 169.54 Mn |
| Dec 31, 2025 | 161.76 Mn |
| Sep 30, 2025 | 163.53 Mn |
| Jun 30, 2025 | 159.89 Mn |
| Mar 31, 2025 | 149.56 Mn |
| Dec 31, 2024 | 160.99 Mn |
| Sep 30, 2024 | 176.29 Mn |
| Jun 30, 2024 | 175.60 Mn |
| Mar 31, 2024 | 167.90 Mn |
| Dec 31, 2023 | 153.62 Mn |
| Sep 30, 2023 | 167.53 Mn |
| Jun 30, 2023 | 168.67 Mn |
| Mar 31, 2023 | 171.50 Mn |
| Dec 31, 2022 | 174.44 Mn |
| Sep 30, 2022 | 173.44 Mn |
| Jun 30, 2022 | 170.71 Mn |
| Mar 31, 2022 | 161.44 Mn |
| Dec 31, 2021 | 151.98 Mn |
| Sep 30, 2021 | 149.05 Mn |
API Access
Civeo Operating 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=operating-expenses&ticker=CVEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CVEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();