Pembina Pipeline (PBA) Operating Expenses (2011 - 2026)
Pembina Pipeline (PBA) posted Operating Expenses of $235 million for Q2 2026, unchanged from $235 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Pembina Pipeline (PBA) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Pembina Pipeline was $815 million, up 9.4% year-over-year; for FY2025, it came in at $687.81 million, down 3.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- In prior years, Pembina Pipeline's Operating Expenses was $712.87 million in FY2024 (+16.6%), $611.46 million in FY2023 (-8.5%), $668.41 million in FY2022 (+10.1%) and $607.24 million in FY2021 (+202.1%).
- Quarterly Operating Expenses has run from a low of $7 million in Q4 2024 to a high of $277 million in Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last six quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 27.0%; the weakest was Q3 2025, with a decline of 54.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.58 Bn | 100.18 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 86.03 Bn | 84.75 Bn | 2.54 Bn | 1.87 Bn |
| 3 | Enterprise Products Partners | 80.00 Bn | 78.39 Bn | - | 16.13 Bn |
| 4 | Kinder Morgan | 74.74 Bn | 74.44 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Energy Transfer | 69.45 Bn | 62.63 Bn | 7.40 Bn | 30.76 Bn |
| 6 | Tc Energy | 64.24 Bn | 60.32 Bn | 2.81 Bn | -1.06 Bn |
| 7 | Targa Resources | 62.85 Bn | 62.33 Bn | 2.14 Bn | 354.10 Mn |
| 8 | Cheniere Energy | 59.18 Bn | 54.01 Bn | 5.29 Bn | 1.44 Bn |
| 9 | Mplx | 59.17 Bn | 52.74 Bn | 2.91 Bn | 1.93 Bn |
| 10 | Pembina Pipeline | 29.13 Bn | 28.58 Bn | 933.00 Mn | 235.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.00 Mn |
| Mar 31, 2026 | 219.00 Mn |
| Sep 30, 2025 | 259.00 Mn |
| Jun 30, 2025 | 235.00 Mn |
| Mar 31, 2025 | 226.00 Mn |
| Dec 31, 2024 | 656.00 Mn |
| Sep 30, 2024 | 277.00 Mn |
| Jun 30, 2024 | 240.00 Mn |
| Mar 31, 2024 | 189.00 Mn |
| Dec 31, 2018 | 125.01 Mn |
| Dec 31, 2017 | 102.33 Mn |
| Sep 30, 2017 | 112.00 Mn |
| Jun 30, 2017 | 101.00 Mn |
| Mar 31, 2017 | 107.00 Mn |
| Dec 31, 2016 | 123.00 Mn |
| Sep 30, 2016 | 109.00 Mn |
| Jun 30, 2016 | 93.00 Mn |
| Mar 31, 2016 | 94.00 Mn |
| Dec 31, 2015 | 110.00 Mn |
| Sep 30, 2015 | 111.00 Mn |
API Access
Pembina Pipeline 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=PBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PBA", "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=PBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();