United Maritime (USEA) Total Liabilities (2021 - 2026)
United Maritime's Total Liabilities came in at $109.72 million for Q2 2026, up 8.8% from $100.81 million a year earlier but down 0.2% from the prior quarter.
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Analysis
United Maritime (USEA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, United Maritime's Total Liabilities was $82.22 million, down 26.6% from FY2024.
- Total Liabilities carries a four-year compound annual growth rate of 89.4% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $111.99 million in FY2024 (+2.8%), $108.94 million in FY2023 (+78.3%), $61.09 million in FY2022 (+856.0%) and $6.39 million in FY2021.
- The five-year range for quarterly Total Liabilities is $6.39 million (Q4 2021) to $117.06 million (Q3 2024).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 5.5%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 856.0%), and the weakest in Q3 2025 (a decline of 29.0%).
- Business Quant data shows USEA's Total Liabilities at $109.93 million (Q1 2026), $82.22 million (Q4 2025) and $83.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | United Maritime | 23.53 Mn | 24.34 Mn | 9.81 Mn | 109.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.72 Mn |
| Mar 31, 2026 | 109.93 Mn |
| Dec 31, 2025 | 82.22 Mn |
| Sep 30, 2025 | 83.12 Mn |
| Jun 30, 2025 | 100.81 Mn |
| Mar 31, 2025 | 113.75 Mn |
| Dec 31, 2024 | 111.99 Mn |
| Sep 30, 2024 | 117.06 Mn |
| Jun 30, 2024 | 107.19 Mn |
| Mar 31, 2024 | 113.00 Mn |
| Dec 31, 2023 | 108.94 Mn |
| Sep 30, 2023 | 107.95 Mn |
| Jun 30, 2023 | 94.40 Mn |
| Mar 31, 2023 | 80.42 Mn |
| Dec 31, 2022 | 61.09 Mn |
| Sep 30, 2022 | 83.79 Mn |
| Jun 30, 2022 | 16.47 Mn |
| Dec 31, 2021 | 6.39 Mn |
API Access
United Maritime Total Liabilities 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=total-liabilities&ticker=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();