Civeo (CVEO) Non Operating Interest Expenses (2013 - 2026)
Civeo (CVEO) reported Non Operating Interest Expenses of $4.41 million for Q3 2026, up 29.0% from $3.42 million a year earlier and up 3.7% from the prior quarter.
Civeo (CVEO) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Civeo's Non Operating Interest Expenses came in at $16.11 million, up 70.9% year-over-year; for FY2025, it was $11.42 million, up 43.2% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $7.97 million in FY2024 (-39.5%), $13.18 million in FY2023 (+14.8%), $11.47 million in FY2022 (-11.5%) and $12.96 million in FY2021 (-22.3%).
- The Q3 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q1 2020.
- Year over year, Non Operating Interest Expenses has now increased in each of the last six quarters, with growth averaging 49.1% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2026 (growth of 132.4%); the low point was Q3 2024 (a decline of 48.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.26 million (Q2 2026), $3.76 million (Q1 2026) and $3.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 103.82 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 45.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 6.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 79.86 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 23.64 Mn |
| 10 | Civeo | 364.68 Mn | 288.81 Mn | 46.29 Mn | 4.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.41 Mn |
| Jun 30, 2026 | 4.26 Mn |
| Mar 31, 2026 | 3.76 Mn |
| Dec 31, 2025 | 3.68 Mn |
| Sep 30, 2025 | 3.42 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 1.62 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 2.36 Mn |
| Dec 31, 2023 | 2.55 Mn |
| Sep 30, 2023 | 3.37 Mn |
| Jun 30, 2023 | 3.60 Mn |
| Mar 31, 2023 | 3.66 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.47 Mn |
| Dec 31, 2021 | 3.04 Mn |
Civeo 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=CVEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CVEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();