Seapeak (SEAL-PA) Cash from Operations (2009 - 2026)
Seapeak (SEAL-PA) recorded Cash from Operations of $55.23 million in Q2 2026, down 4.7% from $57.93 million a year earlier and down 15.1% from the prior quarter.
Seapeak (SEAL-PA) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Seapeak's Cash from Operations came in at $248.29 million as of Jun 30, 2026, down 34.2% year-over-year; for FY2025, it was $272.86 million, down 31.0% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $395.29 million in FY2024 (+9.0%), $362.66 million in FY2023 (+31.0%), $276.78 million in FY2022 (+39.2%) and $198.86 million in FY2021 (-67.6%).
- The Q2 2026 figure is the lowest quarterly Cash from Operations since Q2 2022.
- On a year-over-year basis, Cash from Operations has declined for five consecutive quarters, with an average decline of 9.4% over the last eight quarters.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 165.8% in Q2 2023, against a decline of 57.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.08 million (Q1 2026), $58.37 million (Q4 2025) and $69.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 3.08 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.33 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 1.25 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.05 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 859.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 3.27 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 1.60 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 272.70 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 1.61 Bn |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn | 55.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.23 Mn |
| Mar 31, 2026 | 65.08 Mn |
| Dec 31, 2025 | 58.37 Mn |
| Sep 30, 2025 | 69.60 Mn |
| Jun 30, 2025 | 57.93 Mn |
| Mar 31, 2025 | 86.96 Mn |
| Dec 31, 2024 | 138.33 Mn |
| Sep 30, 2024 | 94.17 Mn |
| Jun 30, 2024 | 91.37 Mn |
| Mar 31, 2024 | 71.42 Mn |
| Dec 31, 2023 | 113.98 Mn |
| Sep 30, 2023 | 71.26 Mn |
| Jun 30, 2023 | 116.88 Mn |
| Mar 31, 2023 | 60.54 Mn |
| Dec 31, 2022 | 89.65 Mn |
| Sep 30, 2022 | 107.79 Mn |
| Jun 30, 2022 | 43.97 Mn |
| Mar 31, 2022 | 35.37 Mn |
| Dec 31, 2021 | 61.16 Mn |
| Sep 30, 2021 | 52.11 Mn |
Seapeak Cash from Operations 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=cash-from-operations&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();