Seapeak (SEAL-PA) Other Accumulated Expenses (2009 - 2026)
Seapeak (SEAL-PA) recorded Other Accumulated Expenses of $188.05 million in Q3 2021, up 9.2% from $172.23 million a year earlier and up 22.4% from the prior quarter.
Seapeak (SEAL-PA) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2020, Seapeak reported Other Accumulated Expenses of $164.27 million, up 6.8% from FY2019.
- Annual Other Accumulated Expenses has increased for six straight years, with a five-year compound annual growth rate of 19.4% (FY2015 to FY2020).
- Across earlier years, Other Accumulated Expenses came in at $153.82 million in FY2019 (+20.9%), $127.27 million in FY2018 (+6.4%), $119.63 million in FY2017 (+56.4%) and $76.48 million in FY2016 (+12.9%).
- The Q3 2021 figure is the highest quarterly Other Accumulated Expenses in data going back to Q1 2009.
- On a year-over-year basis, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 58.3% in Q3 2018, against a decline of 0.6% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $153.6 million (Q2 2021), $187.78 million (Q1 2021) and $164.27 million (Q4 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Seapeak | 2.20 Bn | 1.81 Bn | 152.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Mn |
| Mar 31, 2026 | 1.05 Mn |
| Dec 31, 2025 | 752,000.00 |
| Sep 30, 2025 | 12.98 Mn |
| Jun 30, 2025 | 10.70 Mn |
| Mar 31, 2025 | 5.12 Mn |
| Dec 31, 2024 | 6.72 Mn |
| Sep 30, 2021 | 188.05 Mn |
| Jun 30, 2021 | 153.60 Mn |
| Mar 31, 2021 | 187.78 Mn |
| Dec 31, 2020 | 164.27 Mn |
| Sep 30, 2020 | 172.23 Mn |
| Jun 30, 2020 | 143.83 Mn |
| Mar 31, 2020 | 166.39 Mn |
| Dec 31, 2019 | 153.82 Mn |
| Sep 30, 2019 | 151.21 Mn |
| Jun 30, 2019 | 144.77 Mn |
| Mar 31, 2019 | 122.10 Mn |
| Dec 31, 2018 | 127.27 Mn |
| Sep 30, 2018 | 132.19 Mn |
Seapeak Other 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=other-accumulated-expenses&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();