Select Water Solutions (WTTR) Cost of Revenue (2016 - 2026)
Select Water Solutions (WTTR) reported Cost of Revenue of $318.97 million for Q2 2026, up 4.1% from $306.46 million a year earlier and up 6.1% from the prior quarter.
Select Water Solutions (WTTR) Cost of Revenue (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Select Water Solutions' Cost of Revenue came in at $1.2 billion, down 3.2% year-over-year; for FY2025, it came in at $1.2 billion, down 2.2% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.23 billion in FY2024 (-8.9%), $1.35 billion in FY2023 (+10.4%), $1.23 billion in FY2022 (+64.9%) and $743.76 million in FY2021 (+17.2%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2023.
- Year over year, Cost of Revenue gained in three of the last eight quarters, with an average decline of 2.8%.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 84.5%); the low point was Q1 2024 (a decline of 12.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $300.68 million (Q1 2026), $301.18 million (Q4 2025) and $278.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 7.58 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 5.16 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | 2.08 Bn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 4.91 Bn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 1.61 Bn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 480.42 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 608.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 772.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 144.36 Mn |
| 10 | Select Water Solutions | 2.54 Bn | 2.50 Bn | 76.84 Mn | 318.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.97 Mn |
| Mar 31, 2026 | 300.68 Mn |
| Dec 31, 2025 | 301.18 Mn |
| Sep 30, 2025 | 278.69 Mn |
| Jun 30, 2025 | 306.46 Mn |
| Mar 31, 2025 | 318.61 Mn |
| Dec 31, 2024 | 304.86 Mn |
| Sep 30, 2024 | 308.90 Mn |
| Jun 30, 2024 | 304.98 Mn |
| Mar 31, 2024 | 313.87 Mn |
| Dec 31, 2023 | 320.30 Mn |
| Sep 30, 2023 | 333.01 Mn |
| Jun 30, 2023 | 343.45 Mn |
| Mar 31, 2023 | 356.93 Mn |
| Dec 31, 2022 | 340.11 Mn |
| Sep 30, 2022 | 316.23 Mn |
| Jun 30, 2022 | 300.24 Mn |
| Mar 31, 2022 | 270.09 Mn |
| Dec 31, 2021 | 237.22 Mn |
| Sep 30, 2021 | 195.65 Mn |
Select Water Solutions Cost of Revenue 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=cost-of-revenue&ticker=WTTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "WTTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=WTTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();