Targa Resources (TRGP) Operating Expenses (2010 - 2026)
Targa Resources (TRGP) recorded Operating Expenses of $354.1 million in Q2 2026, up 9.4% from $323.6 million a year earlier and up 6.1% from the prior quarter.
Targa Resources (TRGP) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Targa Resources' Operating Expenses came in at $1.36 billion as of Jun 30, 2026, up 10.1% year-over-year; for FY2025, it was $1.3 billion, up 10.4% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.18 billion in FY2024 (+9.1%), $1.08 billion in FY2023 (+18.1%), $912.8 million in FY2022 (+22.2%) and $747 million in FY2021 (+7.0%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2015.
- On a year-over-year basis, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 10.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 5.3% (Q4 2021) to 40.7% (Q1 2023).
- Per Business Quant, the preceding three quarters came in at $333.7 million (Q1 2026), $337.6 million (Q4 2025) and $333.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 103.77 Bn | 99.37 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 82.09 Bn | 79.12 Bn | 2.59 Bn | 2.09 Bn |
| 3 | Enterprise Products Partners | 79.54 Bn | 77.90 Bn | - | 16.05 Bn |
| 4 | Kinder Morgan | 68.06 Bn | 66.91 Bn | 2.97 Bn | 3.37 Bn |
| 5 | Energy Transfer | 65.76 Bn | 61.59 Bn | 6.57 Bn | 34.32 Bn |
| 6 | Tc Energy | 65.61 Bn | 62.37 Bn | - | 50.00 Mn |
| 7 | Cheniere Energy | 59.35 Bn | 53.50 Bn | 2.97 Bn | 4.26 Bn |
| 8 | Targa Resources | 58.38 Bn | 57.84 Bn | 2.02 Bn | 372.30 Mn |
| 9 | Mplx | 57.68 Bn | 51.71 Bn | 3.19 Bn | 2.13 Bn |
| 10 | Oneok | 54.21 Bn | 53.62 Bn | 2.84 Bn | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 372.30 Mn |
| Jun 30, 2026 | 354.10 Mn |
| Mar 31, 2026 | 333.70 Mn |
| Dec 31, 2025 | 337.60 Mn |
| Sep 30, 2025 | 333.50 Mn |
| Jun 30, 2025 | 323.60 Mn |
| Mar 31, 2025 | 303.60 Mn |
| Dec 31, 2024 | 305.90 Mn |
| Sep 30, 2024 | 301.00 Mn |
| Jun 30, 2024 | 290.70 Mn |
| Mar 31, 2024 | 278.00 Mn |
| Dec 31, 2023 | 269.50 Mn |
| Sep 30, 2023 | 277.70 Mn |
| Jun 30, 2023 | 272.60 Mn |
| Mar 31, 2023 | 258.20 Mn |
| Dec 31, 2022 | 252.20 Mn |
| Sep 30, 2022 | 261.30 Mn |
| Jun 30, 2022 | 215.80 Mn |
| Mar 31, 2022 | 183.50 Mn |
| Dec 31, 2021 | 201.70 Mn |
Targa Resources 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=TRGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRGP", "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=TRGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();