Seapeak (SEAL-PA) Price to Earnings (2016 - 2026)
Seapeak's Price to Earnings was 41.10 in Q2 2026, up 9.7% from the prior quarter.
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Analysis
Seapeak (SEAL-PA) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Seapeak came in at 127.39.
- In earlier years, Price to Earnings was 7.65 in FY2023 (-26.2%), 10.37 in FY2022 (+0.2%) and 10.35 in FY2021 (-72.0%).
- Quarterly Price to Earnings has moved between 7.46 (Q4 2023) and 84.85 (Q4 2025) over five years.
- The best year-over-year quarter for Price to Earnings over five years was Q3 2024 (growth of 32.4%); the worst was Q4 2021 (a decline of 72.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.10 |
| Mar 31, 2026 | 37.46 |
| Dec 31, 2025 | 84.85 |
| Sep 30, 2024 | 11.38 |
| Jun 30, 2024 | 8.33 |
| Mar 31, 2024 | 7.83 |
| Dec 31, 2023 | 7.46 |
| Sep 30, 2023 | 8.60 |
| Jun 30, 2023 | 8.72 |
| Mar 31, 2023 | 9.03 |
| Dec 31, 2022 | 10.37 |
| Sep 30, 2022 | 8.19 |
| Jun 30, 2022 | 10.08 |
| Mar 31, 2022 | 11.67 |
| Dec 31, 2021 | 10.35 |
| Sep 30, 2021 | 10.31 |
| Jun 30, 2021 | 11.97 |
| Mar 31, 2021 | 12.48 |
| Dec 31, 2020 | 37.02 |
| Sep 30, 2020 | 20.96 |
API Access
Seapeak Price to Earnings 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=price-to-earnings&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();