Natural Gas Services (NGS) Operating Expenses (2010 - 2026)
Natural Gas Services' Operating Expenses came in at $41.48 million for Q2 2026, up 31.9% from $31.46 million a year earlier and up 17.2% from the prior quarter.
Natural Gas Services (NGS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Natural Gas Services reported Operating Expenses of $148.56 million, up 15.0% year-over-year; for FY2025, it came in at $135.02 million, up 9.4% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $123.42 million in FY2024 (+11.5%), $110.71 million in FY2023 (+31.2%), $84.39 million in FY2022 (-0.5%) and $84.83 million in FY2021 (+18.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 39.2%), and the weakest in Q4 2022 (a decline of 12.9%).
- Business Quant data shows NGS's Operating Expenses at $35.39 million (Q1 2026), $39.04 million (Q4 2025) and $32.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Natural Gas Services | 417.52 Mn | 417.52 Mn | 30.81 Mn | 41.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.48 Mn |
| Mar 31, 2026 | 35.39 Mn |
| Dec 31, 2025 | 39.04 Mn |
| Sep 30, 2025 | 32.65 Mn |
| Jun 30, 2025 | 31.46 Mn |
| Mar 31, 2025 | 31.88 Mn |
| Dec 31, 2024 | 34.62 Mn |
| Sep 30, 2024 | 31.23 Mn |
| Jun 30, 2024 | 29.99 Mn |
| Mar 31, 2024 | 27.59 Mn |
| Dec 31, 2023 | 31.78 Mn |
| Sep 30, 2023 | 26.47 Mn |
| Jun 30, 2023 | 26.25 Mn |
| Mar 31, 2023 | 26.22 Mn |
| Dec 31, 2022 | 22.84 Mn |
| Sep 30, 2022 | 22.34 Mn |
| Jun 30, 2022 | 19.27 Mn |
| Mar 31, 2022 | 19.95 Mn |
| Dec 31, 2021 | 26.21 Mn |
| Sep 30, 2021 | 19.81 Mn |
Natural Gas Services 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=NGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NGS", "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=NGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();