Seapeak (SEAL-PA) Cash & Equivalents (2009 - 2026)
Seapeak (SEAL-PA) reported Cash & Equivalents of $77.11 million for Q2 2026, down 59.0% from $187.97 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Seapeak (SEAL-PA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Seapeak posted Cash & Equivalents of $122.91 million, down 20.0% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $153.73 million in FY2024 (-8.7%), $168.41 million in FY2023 (-21.9%), $215.74 million in FY2022 (+134.3%) and $92.07 million in FY2021 (-55.5%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2011.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 27.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2022 (growth of 134.3%); the low point was Q2 2026 (a decline of 59.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81.28 million (Q1 2026), $122.91 million (Q4 2025) and $103.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 2.21 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 6.84 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.22 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 281.16 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 13.06 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 3.79 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 6.65 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 466.22 Mn |
| 10 | Seapeak | 2.20 Bn | 1.81 Bn | 152.57 Mn | 77.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.11 Mn |
| Mar 31, 2026 | 81.28 Mn |
| Dec 31, 2025 | 122.91 Mn |
| Sep 30, 2025 | 103.73 Mn |
| Jun 30, 2025 | 141.39 Mn |
| Mar 31, 2025 | 148.35 Mn |
| Dec 31, 2024 | 153.73 Mn |
| Sep 30, 2024 | 196.88 Mn |
| Jun 30, 2024 | 151.01 Mn |
| Mar 31, 2024 | 178.94 Mn |
| Dec 31, 2023 | 168.41 Mn |
| Sep 30, 2023 | 169.31 Mn |
| Jun 30, 2023 | 145.68 Mn |
| Mar 31, 2023 | 157.23 Mn |
| Dec 31, 2022 | 215.74 Mn |
| Sep 30, 2022 | 113.83 Mn |
| Jun 30, 2022 | 175.95 Mn |
| Mar 31, 2022 | 159.24 Mn |
| Dec 31, 2021 | 92.07 Mn |
| Sep 30, 2021 | 109.60 Mn |
API Access
Seapeak Cash & Equivalents 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-and-equivalents&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();