Seapeak (SEAL-PA) Accumulated Expenses (2009 - 2026)
Seapeak's Accumulated Expenses came in at $131.95 million for Q2 2026, up 5.5% from $125.04 million a year earlier and up 8.4% from the prior quarter.
Powered by 
Analysis
Seapeak (SEAL-PA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Seapeak's Accumulated Expenses was $126.83 million, up 26.7% from FY2024.
- Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $100.06 million in FY2024 (+11.4%), $89.85 million in FY2023 (+0.9%), $89.01 million in FY2022 (+23.9%) and $71.86 million in FY2021 (-12.0%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q1 2009.
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 23.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2025 (growth of 58.9%), and the weakest in Q3 2021 (a decline of 21.8%).
- Business Quant data shows SEAL-PA's Accumulated Expenses at $121.78 million (Q1 2026), $126.83 million (Q4 2025) and $116.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.95 Mn |
| Mar 31, 2026 | 121.78 Mn |
| Dec 31, 2025 | 126.83 Mn |
| Sep 30, 2025 | 116.80 Mn |
| Jun 30, 2025 | 125.04 Mn |
| Mar 31, 2025 | 103.66 Mn |
| Dec 31, 2024 | 100.06 Mn |
| Sep 30, 2024 | 96.27 Mn |
| Jun 30, 2024 | 78.69 Mn |
| Mar 31, 2024 | 77.11 Mn |
| Dec 31, 2023 | 89.85 Mn |
| Sep 30, 2023 | 87.03 Mn |
| Jun 30, 2023 | 82.48 Mn |
| Mar 31, 2023 | 79.03 Mn |
| Dec 31, 2022 | 89.01 Mn |
| Sep 30, 2022 | 74.96 Mn |
| Jun 30, 2022 | 98.66 Mn |
| Mar 31, 2022 | 86.45 Mn |
| Dec 31, 2021 | 71.86 Mn |
| Sep 30, 2021 | 66.41 Mn |
API Access
Seapeak Accumulated Expenses 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=accumulated-expenses&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();