Archrock (AROC) Operating Expenses (2009 - 2026)
Archrock (AROC) recorded Operating Expenses of $39.97 million in Q2 2026, down 5.7% from $42.37 million a year earlier and down 12.8% from the prior quarter.
Archrock (AROC) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Archrock's Operating Expenses came in at $162.79 million as of Jun 30, 2026, down 5.0% year-over-year; for FY2025, it was $402.81 million, up 19.4% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $337.47 million in FY2024 (+21.5%), $277.71 million in FY2023 (+1.9%), $272.58 million in FY2022 (-1.8%) and $277.67 million in FY2021 (-4.6%).
- Quarterly Operating Expenses has ranged from $27.47 million in Q1 2023 to $45.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 15.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 48.5% in Q3 2024, against a decline of 15.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.83 million (Q1 2026), $37.56 million (Q4 2025) and $39.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 101.53 Bn | 99.08 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Enterprise Products Partners | 76.92 Bn | 75.35 Bn | - | 16.13 Bn |
| 3 | Energy Transfer | 67.97 Bn | 61.41 Bn | 7.40 Bn | 30.76 Bn |
| 4 | Kinder Morgan | 67.10 Bn | 68.05 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Tc Energy | 60.19 Bn | 63.26 Bn | 2.81 Bn | -1.06 Bn |
| 6 | Targa Resources | 57.97 Bn | 57.59 Bn | 2.14 Bn | 354.10 Mn |
| 7 | Mplx | 57.16 Bn | 50.72 Bn | 2.91 Bn | 1.93 Bn |
| 8 | Cheniere Energy | 55.61 Bn | 55.74 Bn | 5.29 Bn | 1.44 Bn |
| 9 | Oneok | 53.75 Bn | 52.24 Bn | 2.81 Bn | 4.00 Mn |
| 10 | Archrock | 5.31 Bn | 5.30 Bn | 244.51 Mn | 39.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.97 Mn |
| Mar 31, 2026 | 45.83 Mn |
| Dec 31, 2025 | 37.56 Mn |
| Sep 30, 2025 | 39.44 Mn |
| Jun 30, 2025 | 42.37 Mn |
| Mar 31, 2025 | 41.14 Mn |
| Dec 31, 2024 | 44.48 Mn |
| Sep 30, 2024 | 43.28 Mn |
| Jun 30, 2024 | 32.95 Mn |
| Mar 31, 2024 | 31.67 Mn |
| Dec 31, 2023 | 33.23 Mn |
| Sep 30, 2023 | 29.15 Mn |
| Jun 30, 2023 | 28.56 Mn |
| Mar 31, 2023 | 27.47 Mn |
| Dec 31, 2022 | 31.22 Mn |
| Sep 30, 2022 | 30.50 Mn |
| Jun 30, 2022 | 27.69 Mn |
| Mar 31, 2022 | 27.77 Mn |
| Dec 31, 2021 | 28.12 Mn |
| Sep 30, 2021 | 31.15 Mn |
Archrock 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=AROC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AROC", "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=AROC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();