United Maritime (USEA) Accumulated Expenses (2021 - 2026)
United Maritime's Accumulated Expenses was $3.1 million in Q2 2026, down 15.9% from $3.68 million a year earlier.
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Analysis
United Maritime (USEA) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at United Maritime came in at $4.08 million, up 51.9% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 90.5% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $2.68 million in FY2024 (-66.7%), $8.05 million in FY2023 (+46.4%), $5.5 million in FY2022 and $309,611 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last four quarters, with an average decline of 14.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | United Maritime | 24.53 Mn | 25.33 Mn | 9.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Mn |
| Dec 31, 2025 | 4.08 Mn |
| Sep 30, 2025 | 3.97 Mn |
| Jun 30, 2025 | 3.68 Mn |
| Dec 31, 2024 | 2.68 Mn |
| Jun 30, 2024 | 4.98 Mn |
| Dec 31, 2023 | 8.05 Mn |
| Jun 30, 2023 | 7.19 Mn |
| Dec 31, 2022 | 5.50 Mn |
| Jun 30, 2022 | 984,799.00 |
| Dec 31, 2021 | 309,611.00 |
API Access
United 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=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "USEA", "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=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();