OceanPal (SVRN) Accumulated Expenses (2020 - 2025)
OceanPal's Accumulated Expenses came in at $1.47 million for Q2 2025, up 40.3% from $1.04 million a year earlier.
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Analysis
OceanPal (SVRN) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, OceanPal's Accumulated Expenses was $2.42 million, up 169.5% from FY2023.
- Accumulated Expenses carries a four-year compound annual growth rate of 10.3% (FY2020 to FY2024).
- Going back by year, Accumulated Expenses was $898,000 in FY2023 (-22.2%), $1.15 million in FY2022 and $1.64 million in FY2020.
- The five-year range for quarterly Accumulated Expenses is $381,000 (Q4 2021) to $2.42 million (Q4 2024).
- Year-over-year, Accumulated Expenses increased in three of the last four quarters, with growth averaging 59.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 202.9%), and the weakest in Q4 2021 (a decline of 76.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | OceanPal | 583,438.68 | 583,438.68 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.47 Mn |
| Dec 31, 2024 | 2.42 Mn |
| Jun 30, 2024 | 1.04 Mn |
| Dec 31, 2023 | 898,000.00 |
| Jun 30, 2023 | 693,000.00 |
| Dec 31, 2022 | 1.15 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Dec 31, 2021 | 381,000.00 |
| Jun 30, 2021 | 1.11 Mn |
| Dec 31, 2020 | 1.64 Mn |
API Access
OceanPal 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=SVRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SVRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();