Pembina Pipeline (PBA) Exchange Rate Effect (2016 - 2026)
Pembina Pipeline's Exchange Rate Effect was $3 million in Q2 2026, compared with -$8 million a year earlier.
Pembina Pipeline (PBA) Exchange Rate Effect (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pembina Pipeline's Exchange Rate Effect was $2 million through Jun 30, 2026; for FY2025, it was -$2.15 million.
- In earlier years, Exchange Rate Effect was $8.03 million in FY2024, -$1.48 million in FY2023, $6.92 million in FY2022 (-45.8%) and $12.77 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$8 million (Q2 2025) and $8 million (Q3 2022) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 102.52 Bn | 100.06 Bn | 4.84 Bn | 17.35 Mn |
| 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 | 13.74 Mn |
| 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 | 2.00 Mn |
| 10 | Pembina Pipeline | 26.19 Bn | 25.64 Bn | 933.00 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | -8.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Sep 30, 2024 | -2.00 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | -1.00 Mn |
| Mar 31, 2023 | -1.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
| Jun 30, 2021 | 5.00 Mn |
| Mar 31, 2021 | 1.00 Mn |
| Sep 30, 2020 | -1.00 Mn |
| Jun 30, 2020 | -15.00 Mn |
| Mar 31, 2020 | 7.00 Mn |
| Sep 30, 2019 | -8.00 Mn |
| Jun 30, 2019 | 6.00 Mn |
Pembina Pipeline Exchange Rate Effect 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=exchange-rate-effect&ticker=PBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();