Kodiak Gas Services (KGS) Operating Expenses (2022 - 2026)
Kodiak Gas Services (KGS) posted Operating Expenses of $266.88 million for Q2 2026, up 19.6% from $223.11 million a year earlier and up 11.7% from the prior quarter.
Kodiak Gas Services (KGS) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kodiak Gas Services was $1.01 billion, up 5.0% year-over-year; for FY2025, it came in at $968.09 million, up 6.4% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 23.4% (FY2021 to FY2025).
- In prior years, Kodiak Gas Services' Operating Expenses was $909.86 million in FY2024 (+50.1%), $606.27 million in FY2023 (+24.8%), $485.82 million in FY2022 (+16.4%) and $417.42 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2022.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 20.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 80.9%; the weakest was Q2 2025, with a decline of 12.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $238.95 million (Q1 2026), $245.98 million (Q4 2025) and $258.54 million (Q3 2025).
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 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.88 Mn |
| Mar 31, 2026 | 238.95 Mn |
| Dec 31, 2025 | 245.98 Mn |
| Sep 30, 2025 | 258.54 Mn |
| Jun 30, 2025 | 223.11 Mn |
| Mar 31, 2025 | 240.46 Mn |
| Dec 31, 2024 | 240.47 Mn |
| Sep 30, 2024 | 258.57 Mn |
| Jun 30, 2024 | 255.49 Mn |
| Mar 31, 2024 | 155.33 Mn |
| Dec 31, 2023 | 165.24 Mn |
| Sep 30, 2023 | 170.03 Mn |
| Jun 30, 2023 | 141.25 Mn |
| Mar 31, 2023 | 129.76 Mn |
| Dec 31, 2022 | 122.19 Mn |
| Sep 30, 2022 | 124.39 Mn |
| Jun 30, 2022 | 125.25 Mn |
Kodiak 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=KGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KGS", "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=KGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();