Oil States International (OIS) Accumulated Expenses (2011 - 2026)
Oil States International (OIS) posted Accumulated Expenses of $32.21 million for Q2 2026, down 8.9% from $35.35 million a year earlier but up 7.0% from the prior quarter.
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Analysis
Oil States International (OIS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Oil States International's Accumulated Expenses came in at $38.48 million, up 4.4% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Oil States International's Accumulated Expenses was $36.86 million in FY2024 (-16.7%), $44.23 million in FY2023 (-9.8%), $49.06 million in FY2022 (+13.0%) and $43.4 million in FY2021 (-2.5%).
- Quarterly Accumulated Expenses has run from a low of $30.1 million in Q1 2026 to a high of $53.43 million in Q3 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 8.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 13.0%; the weakest was Q3 2024, with a decline of 18.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $30.1 million (Q1 2026), $38.48 million (Q4 2025) and $37.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn |
| 10 | Oil States International | 496.62 Mn | 280.87 Mn | 38.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.21 Mn |
| Mar 31, 2026 | 30.10 Mn |
| Dec 31, 2025 | 38.48 Mn |
| Sep 30, 2025 | 37.85 Mn |
| Jun 30, 2025 | 35.35 Mn |
| Mar 31, 2025 | 31.86 Mn |
| Dec 31, 2024 | 36.86 Mn |
| Sep 30, 2024 | 39.98 Mn |
| Jun 30, 2024 | 38.49 Mn |
| Mar 31, 2024 | 34.82 Mn |
| Dec 31, 2023 | 44.23 Mn |
| Sep 30, 2023 | 49.14 Mn |
| Jun 30, 2023 | 42.99 Mn |
| Mar 31, 2023 | 35.41 Mn |
| Dec 31, 2022 | 49.06 Mn |
| Sep 30, 2022 | 51.69 Mn |
| Jun 30, 2022 | 46.34 Mn |
| Mar 31, 2022 | 41.54 Mn |
| Dec 31, 2021 | 43.40 Mn |
| Sep 30, 2021 | 53.43 Mn |
API Access
Oil States International Accumulated 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=accumulated-expenses&ticker=OIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();