Seapeak (SEAL-PA) Exchange Rate Effect (2009 - 2026)
Seapeak (SEAL-PA) posted Exchange Rate Effect of $907,000 for Q2 2026, down 60.4% from $2.29 million a year earlier and down 3.2% from the prior quarter.
Seapeak (SEAL-PA) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Seapeak was $5.33 million; for FY2015, it came in at -$22.88 million.
- In prior years, Seapeak's Exchange Rate Effect was -$34.08 million in FY2014, $51.62 trillion in FY2013 (+7.8%) and $47.89 trillion in FY2012.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn | 907,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 907,000.00 |
| Mar 31, 2026 | 937,000.00 |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 2.29 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Sep 30, 2022 | -12.25 Mn |
| Jun 30, 2022 | -9.07 Mn |
| Mar 31, 2022 | -16.15 Mn |
| Sep 30, 2021 | -4.93 Mn |
| Jun 30, 2021 | 1.78 Mn |
| Mar 31, 2021 | -9.98 Mn |
| Mar 31, 2020 | -6.93 Mn |
| Mar 31, 2019 | -1.77 Mn |
| Dec 31, 2015 | -8.96 Mn |
| Sep 30, 2015 | 6.13 Mn |
| Dec 31, 2014 | -8.18 Mn |
| Sep 30, 2014 | -25.83 Mn |
| Dec 31, 2013 | 51,615.02 Bn |
| Sep 30, 2013 | 16.64 Mn |
| Dec 31, 2012 | 47,887.39 Bn |
Seapeak 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=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SEAL-PA", "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=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();