Mplx (MPLX) Total Non-Current Liabilities (2011 - 2026)
Mplx's Total Non-Current Liabilities came in at $29.11 billion for Q3 2026, up 3.9% from $28.01 billion a year earlier and up 4.1% from the prior quarter.
Mplx (MPLX) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Mplx's Total Non-Current Liabilities was $27.76 billion, up 19.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $23.25 billion in FY2024 (-2.0%), $23.71 billion in FY2023 (+3.2%), $22.98 billion in FY2022 (unchanged) and $22.98 billion in FY2021 (-0.1%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 19.8%), and the weakest in Q2 2025 (a decline of 3.8%).
- Business Quant data shows MPLX's Total Non-Current Liabilities at $27.95 billion (Q2 2026), $27.92 billion (Q1 2026) and $27.76 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.21 Bn | 99.81 Bn | 4.84 Bn | 106.15 Bn |
| 2 | Williams Companies | 83.97 Bn | 81.00 Bn | 2.59 Bn | 54.65 Bn |
| 3 | Enterprise Products Partners | 79.65 Bn | 78.01 Bn | - | 51.46 Bn |
| 4 | Kinder Morgan | 69.38 Bn | 68.24 Bn | 2.97 Bn | 37.39 Bn |
| 5 | Energy Transfer | 66.22 Bn | 62.05 Bn | 6.57 Bn | 97.24 Bn |
| 6 | Tc Energy | 66.00 Bn | 62.09 Bn | - | 59.01 Bn |
| 7 | Targa Resources | 60.20 Bn | 59.65 Bn | 2.02 Bn | 25.22 Bn |
| 8 | Cheniere Energy | 59.73 Bn | 53.88 Bn | 2.97 Bn | 34.35 Bn |
| 9 | Mplx | 57.64 Bn | 51.66 Bn | 3.19 Bn | 29.11 Bn |
| 10 | Oneok | 54.55 Bn | 53.95 Bn | 2.84 Bn | 41.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.11 Bn |
| Jun 30, 2026 | 27.95 Bn |
| Mar 31, 2026 | 27.92 Bn |
| Dec 31, 2025 | 27.76 Bn |
| Sep 30, 2025 | 28.01 Bn |
| Jun 30, 2025 | 23.34 Bn |
| Mar 31, 2025 | 24.45 Bn |
| Dec 31, 2024 | 23.25 Bn |
| Sep 30, 2024 | 24.28 Bn |
| Jun 30, 2024 | 24.26 Bn |
| Mar 31, 2024 | 23.24 Bn |
| Dec 31, 2023 | 23.71 Bn |
| Sep 30, 2023 | 23.66 Bn |
| Jun 30, 2023 | 23.54 Bn |
| Mar 31, 2023 | 23.48 Bn |
| Dec 31, 2022 | 22.98 Bn |
| Sep 30, 2022 | 23.01 Bn |
| Jun 30, 2022 | 23.48 Bn |
| Mar 31, 2022 | 23.53 Bn |
| Dec 31, 2021 | 22.98 Bn |
Mplx Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MPLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MPLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();