Seapeak (SEAL-PA) Other Working Capital Changes (2017 - 2026)
Seapeak's Other Working Capital Changes was -$8.98 million in Q2 2026, compared with $3.83 million a year earlier.
Seapeak (SEAL-PA) Other Working Capital Changes (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seapeak's Other Working Capital Changes was -$16.08 million through Jun 30, 2026; for FY2019, it was $7.63 million.
- Other Working Capital Changes shows a five-year compound annual growth rate of 21.4% (FY2014 to FY2019).
- In earlier years, Other Working Capital Changes was -$10.5 million in FY2018, -$10.97 million in FY2017, -$9.6 million in FY2016 and $3.64 million in FY2015 (+25.9%).
- The Q2 2026 figure marks the lowest quarterly Other Working Capital Changes since Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.98 Mn |
| Mar 31, 2026 | -2.89 Mn |
| Sep 30, 2025 | -8.04 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 14.70 Mn |
| Sep 30, 2024 | -109,000.00 |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | -16.40 Mn |
| Sep 30, 2023 | -5.67 Mn |
| Jun 30, 2023 | 20.31 Mn |
| Mar 31, 2023 | -15.78 Mn |
| Sep 30, 2022 | 13.96 Mn |
| Jun 30, 2022 | -5.58 Mn |
| Mar 31, 2022 | -24.16 Mn |
| Sep 30, 2021 | -16.98 Mn |
| Jun 30, 2021 | -18.45 Mn |
| Mar 31, 2021 | -39.25 Mn |
| Sep 30, 2020 | -1.66 Mn |
| Jun 30, 2020 | 18.12 Mn |
| Mar 31, 2020 | -495,000.00 |
Seapeak Other Working Capital Changes 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=other-working-capital-changes&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-working-capital-changes", "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=other-working-capital-changes&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();