OceanPal (SVRN) Other Accumulated Expenses (2020 - 2025)
OceanPal (SVRN) reported Other Accumulated Expenses of $331,000 for Q2 2025, down 17.0% from $399,000 a year earlier.
Analysis
OceanPal (SVRN) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, OceanPal posted Other Accumulated Expenses of $458,000, down 3.4% from FY2023.
- Other Accumulated Expenses has a four-year compound annual growth rate of 41.2% (FY2020 to FY2024).
- By year, Other Accumulated Expenses came in at $474,000 in FY2023 (+15.6%), $410,000 in FY2022 and $115,280 in FY2020.
- The Q2 2025 figure ranks as the lowest quarterly Other Accumulated Expenses since Q2 2023.
- Year over year, Other Accumulated Expenses gained in two of the last four quarters, with growth averaging 4.7%.
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 | OceanPal | 542,761.60 | 542,761.60 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 331,000.00 |
| Dec 31, 2024 | 458,000.00 |
| Jun 30, 2024 | 399,000.00 |
| Dec 31, 2023 | 474,000.00 |
| Jun 30, 2023 | 323,000.00 |
| Dec 31, 2022 | 410,000.00 |
| Dec 31, 2021 | 59,000.00 |
| Jun 30, 2021 | 22,930.00 |
| Dec 31, 2020 | 115,280.00 |
API Access
OceanPal 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=SVRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "SVRN", "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=SVRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();