Oil States International (OIS) Operating Expenses (2009 - 2026)
Oil States International (OIS) posted Operating Expenses of $144.95 million for Q2 2026, down 9.5% from $160.13 million a year earlier but up 2.7% from the prior quarter.
Oil States International (OIS) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Oil States International was $738.56 million, up 14.3% year-over-year; for FY2025, it was $766.96 million, up 10.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In prior years, Oil States International's Operating Expenses was $694.28 million in FY2024 (-8.5%), $759.12 million in FY2023 (+3.3%), $734.8 million in FY2022 (+15.2%) and $637.95 million in FY2021 (-45.6%).
- Quarterly Operating Expenses has run from a low of $141.09 million in Q1 2026 to a high of $292.1 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with growth averaging 1.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 99.9%; the weakest was Q4 2024, with a decline of 27.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $141.09 million (Q1 2026), $292.1 million (Q4 2025) and $160.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 723.00 Mn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | 4.94 Bn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | 2.28 Bn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 689.21 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 1.04 Bn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | 498.70 Mn |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 998.00 Mn |
| 10 | Oil States International | 495.02 Mn | 279.27 Mn | 38.71 Mn | 144.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.95 Mn |
| Mar 31, 2026 | 141.09 Mn |
| Dec 31, 2025 | 292.10 Mn |
| Sep 30, 2025 | 160.43 Mn |
| Jun 30, 2025 | 160.13 Mn |
| Mar 31, 2025 | 154.30 Mn |
| Dec 31, 2024 | 146.11 Mn |
| Sep 30, 2024 | 185.39 Mn |
| Jun 30, 2024 | 184.34 Mn |
| Mar 31, 2024 | 178.44 Mn |
| Dec 31, 2023 | 200.44 Mn |
| Sep 30, 2023 | 188.10 Mn |
| Jun 30, 2023 | 180.26 Mn |
| Mar 31, 2023 | 190.32 Mn |
| Dec 31, 2022 | 199.16 Mn |
| Sep 30, 2022 | 184.34 Mn |
| Jun 30, 2022 | 182.92 Mn |
| Mar 31, 2022 | 168.38 Mn |
| Dec 31, 2021 | 172.59 Mn |
| Sep 30, 2021 | 156.67 Mn |
Oil States International 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=OIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OIS", "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=OIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();