Mplx (MPLX) Operating Expenses (2011 - 2026)
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Analysis
Mplx (MPLX) Operating Expenses (2011 - 2026) Analysis & Trends
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.13 Bn |
| Jun 30, 2026 | 1.93 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 1.82 Bn |
| Jun 30, 2025 | 1.71 Bn |
| Mar 31, 2025 | 1.76 Bn |
| Dec 31, 2024 | 1.72 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.63 Bn |
| Mar 31, 2024 | 1.60 Bn |
| Dec 31, 2023 | 1.59 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 1.52 Bn |
| Mar 31, 2023 | 1.52 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 1.73 Bn |
| Jun 30, 2022 | 1.82 Bn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.68 Bn |
API Access
Mplx 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=MPLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MPLX", "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=MPLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();