Costamare (CMRE) Other Accumulated Expenses (2009 - 2026)
Costamare (CMRE) posted Other Accumulated Expenses of $33.4 million for Q2 2026, up 64.1% from $20.35 million a year earlier but down 32.3% from the prior quarter.
Costamare (CMRE) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Costamare's Other Accumulated Expenses came in at $46.68 million, up 90.0% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 81.4% (FY2020 to FY2025).
- In prior years, Costamare's Other Accumulated Expenses was $24.56 million in FY2024 (+233.0%), $7.38 million in FY2023 (+97.8%), $3.73 million in FY2022 (-19.4%) and $4.62 million in FY2021 (+94.8%).
- Quarterly Other Accumulated Expenses has run from a low of $1.83 million in Q4 2023 to a high of $49.34 million in Q1 2026 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 131.9% over the last seven quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2021, with growth of 291.5%; the weakest was Q2 2022, with a decline of 95.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $49.34 million (Q1 2026), $46.68 million (Q4 2025) and $36.59 million (Q3 2025).
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 | Costamare | 1.86 Bn | -78.01 Mn | 193.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.40 Mn |
| Mar 31, 2026 | 49.34 Mn |
| Dec 31, 2025 | 46.68 Mn |
| Sep 30, 2025 | 36.59 Mn |
| Jun 30, 2025 | 20.35 Mn |
| Mar 31, 2025 | 31.42 Mn |
| Dec 31, 2024 | 24.56 Mn |
| Sep 30, 2024 | 15.72 Mn |
| Jun 30, 2024 | 9.21 Mn |
| Mar 31, 2024 | 8.20 Mn |
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 5.71 Mn |
| Jun 30, 2023 | 5.37 Mn |
| Mar 31, 2023 | 3.77 Mn |
| Dec 31, 2022 | 3.73 Mn |
| Sep 30, 2022 | 2.48 Mn |
| Jun 30, 2022 | 2.67 Mn |
| Mar 31, 2022 | 4.64 Mn |
| Dec 31, 2021 | 4.62 Mn |
| Sep 30, 2021 | 3.63 Mn |
Costamare 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=CMRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CMRE", "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=CMRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();