Seapeak (SEAL-PA) EBITDA (2009 - 2026)
Seapeak (SEAL-PA) posted EBITDA of $90.4 million for Q2 2026, up 20.8% from $74.8 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Seapeak (SEAL-PA) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Seapeak was $282.84 million; for FY2025, it was $274.85 million, up 470.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior years, Seapeak's EBITDA was $48.16 million in FY2024 (-89.6%), $460.99 million in FY2023 (+50.7%), $305.81 million in FY2022 (-18.9%) and $377.27 million in FY2021 (+6.0%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q1 2025.
- On a year-over-year basis, EBITDA increased in two of the last six quarters, with an average decline of 17.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 185.3%; the weakest was Q3 2025, with a decline of 77.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $85.93 million (Q1 2026), $81.9 million (Q4 2025) and $24.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 183.69 Bn | 175.94 Bn | - | 3.59 Bn |
| 2 | United Parcel Service | 97.20 Bn | 74.10 Bn | - | 1.91 Bn |
| 3 | Csx | 96.55 Bn | 91.78 Bn | - | 1.98 Bn |
| 4 | Canadian Pacific Kansas City | 83.75 Bn | 82.78 Bn | - | 1.44 Bn |
| 5 | Fedex | 77.97 Bn | 44.17 Bn | - | 2.68 Bn |
| 6 | Norfolk Southern | 77.53 Bn | 72.00 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 58.54 Bn | 40.73 Bn | - | 2.13 Bn |
| 8 | United Airlines Holdings | 37.69 Bn | -20.00 Bn | - | 2.22 Bn |
| 9 | Old Dominion Freight Line | 37.24 Bn | 36.50 Bn | - | 557.01 Mn |
| 10 | Seapeak | 2.19 Bn | 1.80 Bn | 152.57 Mn | 91.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.54 Mn |
| Mar 31, 2026 | 87.23 Mn |
| Dec 31, 2025 | 83.02 Mn |
| Sep 30, 2025 | 25.62 Mn |
| Jun 30, 2025 | 75.94 Mn |
| Mar 31, 2025 | 94.42 Mn |
| Dec 31, 2024 | -278.40 Mn |
| Sep 30, 2024 | 111.07 Mn |
| Jun 30, 2024 | 108.88 Mn |
| Mar 31, 2024 | 111.02 Mn |
| Dec 31, 2023 | 101.68 Mn |
| Sep 30, 2023 | 106.46 Mn |
| Jun 30, 2023 | 112.81 Mn |
| Mar 31, 2023 | 146.41 Mn |
| Dec 31, 2022 | 89.78 Mn |
| Sep 30, 2022 | 83.89 Mn |
| Jun 30, 2022 | 86.07 Mn |
| Mar 31, 2022 | 53.01 Mn |
| Dec 31, 2021 | 88.13 Mn |
| Sep 30, 2021 | 91.94 Mn |
API Access
Seapeak EBITDA 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=ebitda&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();