Plains All American Pipeline (PAA) Change in Accrued Expenses (2009 - 2010)
Plains All American Pipeline's Change in Accrued Expenses was -$334 million in FY2025, compared with -$57 million in FY2024.
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Analysis
Plains All American Pipeline (PAA) Change in Accrued Expenses (2009 - 2010) Analysis & Trends
From FY2009 onward, Plains All American Pipeline has reported Change in Accrued Expenses for 17 years.
- The FY2025 figure marks the lowest annual Change in Accrued Expenses since FY2022.
- Per Business Quant data, Change in Accrued Expenses in earlier years was -$57 million in FY2024, -$141 million in FY2023, -$830 million in FY2022 and $1.97 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn | - |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn | - |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn | - |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn | -148.00 Mn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn | - |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn | 543.10 Mn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn | 492.00 Mn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn | 84.00 Mn |
| 10 | Plains All American Pipeline | 17.30 Bn | 18.05 Bn | 1.14 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2010 | -95.00 Mn |
| Dec 31, 2009 | 605.00 Mn |
| Sep 30, 2009 | -140.00 Mn |
| Jun 30, 2009 | 485.00 Mn |
| Mar 31, 2009 | -348.00 Mn |
API Access
Plains All American Pipeline Change in Accrued 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=change-in-accured-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PAA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();