Castor Maritime (CTRM) Accumulated Expenses (2017 - 2026)
Castor Maritime (CTRM) reported Accumulated Expenses of $13.4 million for Q2 2026, down 17.0% from $16.15 million a year earlier and down 14.8% from the prior quarter.
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Analysis
Castor Maritime (CTRM) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Castor Maritime posted Accumulated Expenses of $16.7 million, down 27.5% from FY2024.
- Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -89.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $23.05 million in FY2024 (-100.0%), $3.59 trillion in FY2023 (-34.6%), $5.49 trillion in FY2022 (+23.2%) and $4.46 trillion in FY2021 (+176.5%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q3 2023.
- Year over year, Accumulated Expenses has now declined in each of the last seven quarters, with an average decline of 64.4% over the last seven quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 176.5%); the low point was Q2 2023 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.73 million (Q1 2026), $16.7 million (Q4 2025) and $16.53 million (Q3 2025).
Peer Set
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 | Castor Maritime | 13.04 Mn | -668.71 Mn | 17.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.40 Mn |
| Mar 31, 2026 | 15.73 Mn |
| Dec 31, 2025 | 16.70 Mn |
| Sep 30, 2025 | 16.53 Mn |
| Jun 30, 2025 | 16.15 Mn |
| Mar 31, 2025 | 16.82 Mn |
| Dec 31, 2024 | 23.05 Mn |
| Sep 30, 2024 | 3,487.34 Bn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 3,882.27 Bn |
| Dec 31, 2023 | 3.59 Mn |
| Sep 30, 2023 | 3,883.26 Bn |
| Jun 30, 2023 | 4.75 Mn |
| Mar 31, 2023 | 4,104.16 Bn |
| Dec 31, 2022 | 5.49 Mn |
| Sep 30, 2022 | 7,494.39 Bn |
| Jun 30, 2022 | 6.56 Mn |
| Mar 31, 2022 | 5,210.24 Bn |
| Dec 31, 2021 | 4.46 Mn |
| Sep 30, 2021 | 4,351.06 Bn |
API Access
Castor Maritime 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=CTRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CTRM", "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=CTRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();