Seapeak (SEAL-PA) Total Non-Current Liabilities (2009 - 2026)
Seapeak's Total Non-Current Liabilities came in at $2.95 billion for Q2 2026, down 0.5% from $2.96 billion a year earlier but up 4.7% from the prior quarter.
Seapeak (SEAL-PA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Seapeak's Total Non-Current Liabilities was $2.88 billion, down 5.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $3.04 billion in FY2024 (+4.7%), $2.91 billion in FY2023 (-12.6%), $3.32 billion in FY2022 (+18.3%) and $2.81 billion in FY2021 (-8.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.61 billion (Q3 2022) to $3.32 billion (Q4 2022).
- Year-over-year, Total Non-Current 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 Non-Current Liabilities over five years came in Q4 2022 (growth of 18.3%), and the weakest in Q4 2023 (a decline of 12.6%).
- Business Quant data shows SEAL-PA's Total Non-Current Liabilities at $2.82 billion (Q1 2026), $2.88 billion (Q4 2025) and $2.9 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 183.28 Bn | 175.53 Bn | - | 48.84 Bn |
| 2 | Csx | 96.04 Bn | 91.27 Bn | - | 30.27 Bn |
| 3 | United Parcel Service | 85.91 Bn | 62.77 Bn | - | 53.87 Bn |
| 4 | Canadian Pacific Kansas City | 82.09 Bn | 81.82 Bn | - | 29.45 Bn |
| 5 | Fedex | 77.95 Bn | 44.15 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 77.29 Bn | 71.75 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 58.74 Bn | 40.93 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 37.61 Bn | -20.09 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 37.22 Bn | 36.48 Bn | - | 656.79 Mn |
| 10 | Seapeak | 2.19 Bn | 1.84 Bn | 152.57 Mn | 2.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 2.88 Bn |
| Sep 30, 2025 | 2.90 Bn |
| Jun 30, 2025 | 2.96 Bn |
| Mar 31, 2025 | 3.00 Bn |
| Dec 31, 2024 | 2.98 Bn |
| Sep 30, 2024 | 2.89 Bn |
| Jun 30, 2024 | 2.88 Bn |
| Mar 31, 2024 | 2.98 Bn |
| Dec 31, 2023 | 2.91 Bn |
| Sep 30, 2023 | 2.95 Bn |
| Jun 30, 2023 | 3.03 Bn |
| Mar 31, 2023 | 3.18 Bn |
| Dec 31, 2022 | 3.32 Bn |
| Sep 30, 2022 | 2.61 Bn |
| Jun 30, 2022 | 2.78 Bn |
| Mar 31, 2022 | 2.82 Bn |
| Dec 31, 2021 | 2.81 Bn |
| Sep 30, 2021 | 2.84 Bn |
Seapeak Total Non-Current 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-non-current-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();