Seapeak (SEAL-PA) Total Current Liabilities (2009 - 2026)
Seapeak (SEAL-PA) recorded Total Current Liabilities of $820.95 million in Q2 2026, up 32.7% from $618.48 million a year earlier and up 13.0% from the prior quarter.
Seapeak (SEAL-PA) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Seapeak reported Total Current Liabilities of $706.62 million, up 48.0% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $477.4 million in FY2024 (+8.5%), $440.12 million in FY2023 (-45.2%), $803.45 million in FY2022 (+119.0%) and $366.81 million in FY2021 (-29.6%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q1 2018.
- On a year-over-year basis, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 23.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 119.0% in Q4 2022, against a decline of 45.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $726.82 million (Q1 2026), $706.62 million (Q4 2025) and $514.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 5.61 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 3.37 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn | 820.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 820.95 Mn |
| Mar 31, 2026 | 726.82 Mn |
| Dec 31, 2025 | 706.62 Mn |
| Sep 30, 2025 | 514.19 Mn |
| Jun 30, 2025 | 618.48 Mn |
| Mar 31, 2025 | 589.12 Mn |
| Dec 31, 2024 | 477.40 Mn |
| Sep 30, 2024 | 483.16 Mn |
| Jun 30, 2024 | 519.64 Mn |
| Mar 31, 2024 | 424.41 Mn |
| Dec 31, 2023 | 440.12 Mn |
| Sep 30, 2023 | 425.92 Mn |
| Jun 30, 2023 | 566.61 Mn |
| Mar 31, 2023 | 718.76 Mn |
| Dec 31, 2022 | 803.45 Mn |
| Sep 30, 2022 | 452.39 Mn |
| Jun 30, 2022 | 339.58 Mn |
| Mar 31, 2022 | 408.68 Mn |
| Dec 31, 2021 | 366.81 Mn |
| Sep 30, 2021 | 570.04 Mn |
Seapeak Total 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-current-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();