Pembina Pipeline (PBA) Restructuring Costs (2011 - 2024)
Pembina Pipeline's Restructuring Costs came in at $15 million for FY2025.
Analysis
Pembina Pipeline (PBA) Restructuring Costs (2011 - 2024) Analysis & Trends
Going back to FY2011, Pembina Pipeline's Restructuring Costs data covers 8 years.
- Restructuring Costs carries a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Restructuring Costs since FY2021.
- Per Business Quant, earlier years put Restructuring Costs at $47 million in FY2021 (+529.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 102.52 Bn | 100.06 Bn | 4.84 Bn |
| 2 | Enterprise Products Partners | 79.27 Bn | 77.71 Bn | - |
| 3 | Energy Transfer | 69.21 Bn | 62.65 Bn | 7.40 Bn |
| 4 | Kinder Morgan | 68.17 Bn | 69.12 Bn | 3.07 Bn |
| 5 | Tc Energy | 61.09 Bn | 64.16 Bn | 2.81 Bn |
| 6 | Targa Resources | 59.48 Bn | 59.10 Bn | 2.14 Bn |
| 7 | Mplx | 58.45 Bn | 52.01 Bn | 2.91 Bn |
| 8 | Oneok | 55.88 Bn | 54.37 Bn | 2.81 Bn |
| 9 | Cheniere Energy | 55.70 Bn | 55.83 Bn | 5.29 Bn |
| 10 | Pembina Pipeline | 26.19 Bn | 25.64 Bn | 933.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 7.00 Mn |
| Dec 31, 2017 | 5.04 Bn |
| Jun 30, 2016 | 439.14 Mn |
| Dec 31, 2013 | 1.00 Mn |
| Jun 30, 2013 | 600,000.00 |
| Mar 31, 2013 | -600,000.00 |
| Dec 31, 2012 | 1.00 Mn |
| Sep 30, 2012 | 1.50 Mn |
| Jun 30, 2012 | 500,000.00 |
| Mar 31, 2012 | 22.10 Mn |
| Dec 31, 2011 | 800,000.00 |
| Sep 30, 2011 | 1.22 Mn |
| Jun 30, 2011 | -662,000.00 |
| Mar 31, 2011 | 80,000.00 |
API Access
Pembina Pipeline Restructuring Costs 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=restructuring-costs&ticker=PBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();