Seapeak (SEAL-PA) Total Liabilities (2009 - 2026)
Seapeak's Total Liabilities came in at $3.05 billion for Q2 2026, down 0.6% from $3.07 billion a year earlier but up 5.0% from the prior quarter.
Analysis
Seapeak (SEAL-PA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Seapeak's Total Liabilities was $2.95 billion, down 5.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3.13 billion in FY2024 (+5.0%), $2.98 billion in FY2023 (-12.4%), $3.41 billion in FY2022 (+18.7%) and $2.87 billion in FY2021 (-7.7%).
- The five-year range for quarterly Total Liabilities is $2.68 billion (Q3 2022) to $3.41 billion (Q4 2022).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 18.7%), and the weakest in Q4 2023 (a decline of 12.4%).
- Business Quant data shows SEAL-PA's Total Liabilities at $2.9 billion (Q1 2026), $2.95 billion (Q4 2025) and $2.98 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 50.54 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 28.87 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn | 3.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Bn |
| Mar 31, 2026 | 2.90 Bn |
| Dec 31, 2025 | 2.95 Bn |
| Sep 30, 2025 | 2.98 Bn |
| Jun 30, 2025 | 3.07 Bn |
| Mar 31, 2025 | 3.10 Bn |
| Dec 31, 2024 | 3.13 Bn |
| Sep 30, 2024 | 2.97 Bn |
| Jun 30, 2024 | 2.96 Bn |
| Mar 31, 2024 | 3.06 Bn |
| Dec 31, 2023 | 2.98 Bn |
| Sep 30, 2023 | 3.03 Bn |
| Jun 30, 2023 | 3.11 Bn |
| Mar 31, 2023 | 3.26 Bn |
| Dec 31, 2022 | 3.41 Bn |
| Sep 30, 2022 | 2.68 Bn |
| Jun 30, 2022 | 2.85 Bn |
| Mar 31, 2022 | 2.88 Bn |
| Dec 31, 2021 | 2.87 Bn |
| Sep 30, 2021 | 2.90 Bn |
API Access
Seapeak Total Liabilities 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=total-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();