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 | 161.62 Bn | 156.15 Bn | - | 3.40 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 1.48 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn | 90.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.40 Mn |
| Mar 31, 2026 | 85.93 Mn |
| Dec 31, 2025 | 81.90 Mn |
| Sep 30, 2025 | 24.62 Mn |
| Jun 30, 2025 | 74.80 Mn |
| Mar 31, 2025 | 93.53 Mn |
| Dec 31, 2024 | -279.32 Mn |
| Sep 30, 2024 | 110.13 Mn |
| Jun 30, 2024 | 107.50 Mn |
| Mar 31, 2024 | 109.85 Mn |
| Dec 31, 2023 | 99.98 Mn |
| Sep 30, 2023 | 104.59 Mn |
| Jun 30, 2023 | 111.42 Mn |
| Mar 31, 2023 | 145.01 Mn |
| Dec 31, 2022 | 88.34 Mn |
| Sep 30, 2022 | 82.31 Mn |
| Jun 30, 2022 | 84.33 Mn |
| Mar 31, 2022 | 50.83 Mn |
| Dec 31, 2021 | 87.02 Mn |
| Sep 30, 2021 | 90.65 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();