Oil States International (OIS) Retained Earnings (2009 - 2026)
Oil States International's Retained Earnings came in at $171.3 million for Q2 2026, down 38.7% from $279.63 million a year earlier but up 3.6% from the prior quarter.
Oil States International (OIS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Oil States International's Retained Earnings was $164.28 million, down 40.0% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $273.66 million in FY2024 (-4.0%), $284.92 million in FY2023 (+4.7%), $272.03 million in FY2022 (-3.4%) and $281.57 million in FY2021 (-14.5%).
- The five-year range for quarterly Retained Earnings is $164.28 million (Q4 2025) to $301.44 million (Q3 2021).
- Year-over-year, Retained Earnings has declined for three consecutive quarters, with an average decline of 14.6% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2025 (growth of 8.9%), and the weakest in Q1 2026 (a decline of 40.3%).
- Business Quant data shows OIS's Retained Earnings at $165.39 million (Q1 2026), $164.28 million (Q4 2025) and $281.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 18.71 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | -1.64 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -3.65 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 15.72 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | -639.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 207.83 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -7.22 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | -1.02 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 2.42 Bn |
| 10 | Oil States International | 479.73 Mn | 263.97 Mn | 38.71 Mn | 171.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.30 Mn |
| Mar 31, 2026 | 165.39 Mn |
| Dec 31, 2025 | 164.28 Mn |
| Sep 30, 2025 | 281.53 Mn |
| Jun 30, 2025 | 279.63 Mn |
| Mar 31, 2025 | 276.82 Mn |
| Dec 31, 2024 | 273.66 Mn |
| Sep 30, 2024 | 258.50 Mn |
| Jun 30, 2024 | 272.85 Mn |
| Mar 31, 2024 | 271.54 Mn |
| Dec 31, 2023 | 284.92 Mn |
| Sep 30, 2023 | 278.96 Mn |
| Jun 30, 2023 | 274.74 Mn |
| Mar 31, 2023 | 274.19 Mn |
| Dec 31, 2022 | 272.03 Mn |
| Sep 30, 2022 | 269.14 Mn |
| Jun 30, 2022 | 267.00 Mn |
| Mar 31, 2022 | 272.14 Mn |
| Dec 31, 2021 | 281.57 Mn |
| Sep 30, 2021 | 301.44 Mn |
Oil States International Retained Earnings 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=retained-earnings&ticker=OIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();