Kinetik Holdings (KNTK) Operating Expenses (2017 - 2026)
Kinetik Holdings' Operating Expenses was $447.46 million in Q2 2026, up 28.1% from $349.28 million a year earlier and up 8.1% from the prior quarter.
Kinetik Holdings (KNTK) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kinetik Holdings' Operating Expenses was $1.69 billion through Jun 30, 2026, up 15.7% year-over-year; for FY2025, it came in at $1.6 billion, up 22.7% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.3 billion in FY2024 (+18.8%), $1.1 billion in FY2023 (+3.2%), $1.06 billion in FY2022 (+74.7%) and $608.55 million in FY2021 (-57.5%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2020.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 19.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 609.3%); the worst was Q4 2021 (a decline of 84.9%).
- Per Business Quant data, KNTK's Operating Expenses in the three quarters before Q2 2026 was $413.81 million (Q1 2026), $382.02 million (Q4 2025) and $444.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.84 Bn | 100.44 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 89.20 Bn | 87.92 Bn | 2.54 Bn | 1.87 Bn |
| 3 | Enterprise Products Partners | 79.12 Bn | 77.51 Bn | - | 16.13 Bn |
| 4 | Kinder Morgan | 75.45 Bn | 75.15 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Energy Transfer | 69.26 Bn | 62.44 Bn | 7.40 Bn | 30.76 Bn |
| 6 | Tc Energy | 64.74 Bn | 60.82 Bn | 2.81 Bn | -1.06 Bn |
| 7 | Targa Resources | 63.52 Bn | 63.00 Bn | 2.14 Bn | 354.10 Mn |
| 8 | Cheniere Energy | 59.48 Bn | 54.30 Bn | 5.29 Bn | 1.44 Bn |
| 9 | Mplx | 59.26 Bn | 52.82 Bn | 2.91 Bn | 1.93 Bn |
| 10 | Kinetik Holdings | 4.19 Bn | 4.17 Bn | 343.85 Mn | 447.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 447.46 Mn |
| Mar 31, 2026 | 413.81 Mn |
| Dec 31, 2025 | 382.02 Mn |
| Sep 30, 2025 | 444.18 Mn |
| Jun 30, 2025 | 349.28 Mn |
| Mar 31, 2025 | 423.98 Mn |
| Dec 31, 2024 | 362.05 Mn |
| Sep 30, 2024 | 323.49 Mn |
| Jun 30, 2024 | 302.87 Mn |
| Mar 31, 2024 | 315.29 Mn |
| Dec 31, 2023 | 292.73 Mn |
| Sep 30, 2023 | 291.90 Mn |
| Jun 30, 2023 | 258.75 Mn |
| Mar 31, 2023 | 253.78 Mn |
| Dec 31, 2022 | 250.48 Mn |
| Sep 30, 2022 | 279.38 Mn |
| Jun 30, 2022 | 294.96 Mn |
| Mar 31, 2022 | 238.18 Mn |
| Dec 31, 2021 | 206.34 Mn |
| Sep 30, 2021 | 150.55 Mn |
Kinetik Holdings 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=KNTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KNTK", "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=KNTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();