Pembina Pipeline (PBA) Convertible Debt (2011 - 2024)
Pembina Pipeline (PBA) reported Convertible Debt of -$52 million for Q3 2024.
Analysis
Pembina Pipeline (PBA) Convertible Debt (2011 - 2024) Analysis & Trends
At the end of FY2017, Pembina Pipeline posted Convertible Debt of $71.68 million, down 49.9% from FY2016.
- Convertible Debt has a five-year compound annual growth rate of -34.8% (FY2012 to FY2017).
- By year, Convertible Debt came in at $143 million in FY2016 (unchanged), $143 million in FY2015 (-63.4%), $391 million in FY2014 (-35.3%) and $604 million in FY2013 (-1.0%).
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 |
|---|---|
| Sep 30, 2024 | -52.00 Mn |
| Jun 30, 2024 | -52.00 Mn |
| Sep 30, 2018 | 54.00 Mn |
| Jun 30, 2018 | 90.00 Mn |
| Mar 31, 2018 | 92.00 Mn |
| Dec 31, 2017 | 73.20 Mn |
| Sep 30, 2017 | 93.00 Mn |
| Jun 30, 2017 | 93.00 Mn |
| Mar 31, 2017 | 144.00 Mn |
| Sep 30, 2016 | 143.00 Mn |
| Jun 30, 2016 | 143.00 Mn |
| Mar 31, 2016 | 143.00 Mn |
| Dec 31, 2015 | 143.00 Mn |
| Sep 30, 2015 | 144.00 Mn |
| Jun 30, 2015 | 386.00 Mn |
| Mar 31, 2015 | 386.00 Mn |
| Dec 31, 2014 | 391.00 Mn |
| Sep 30, 2014 | 410.00 Mn |
| Jun 30, 2014 | 462.00 Mn |
| Mar 31, 2014 | 521.00 Mn |
API Access
Pembina Pipeline Convertible Debt 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=convertible-debt&ticker=PBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=PBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();