United Maritime (USEA) Total Non-Current Liabilities (2021 - 2026)
United Maritime (USEA) posted Total Non-Current Liabilities of $109.28 million for Q2 2026, up 9.0% from $100.28 million a year earlier and up 21.8% from the prior quarter.
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Analysis
United Maritime (USEA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, United Maritime's Total Non-Current Liabilities came in at $82.22 million, down 26.3% from FY2024.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of 90.2% (FY2021 to FY2025).
- In prior years, United Maritime's Total Non-Current Liabilities was $111.56 million in FY2024 (+2.4%), $108.94 million in FY2023 (+80.5%), $60.35 million in FY2022 (+860.2%) and $6.29 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last seven quarters, with an average decline of 4.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 860.2%; the weakest was Q4 2025, with a decline of 26.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $89.72 million (Q1 2026), $82.22 million (Q4 2025) and $83.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 48.79 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 151.69 Mn |
| 10 | United Maritime | 23.53 Mn | 24.34 Mn | 9.81 Mn | 109.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.28 Mn |
| Mar 31, 2026 | 89.72 Mn |
| Dec 31, 2025 | 82.22 Mn |
| Sep 30, 2025 | 83.12 Mn |
| Jun 30, 2025 | 100.28 Mn |
| Mar 31, 2025 | 94.48 Mn |
| Dec 31, 2024 | 111.56 Mn |
| Sep 30, 2024 | 101.11 Mn |
| Mar 31, 2024 | 93.54 Mn |
| Dec 31, 2023 | 108.94 Mn |
| Sep 30, 2023 | 94.34 Mn |
| Jun 30, 2023 | 94.40 Mn |
| Mar 31, 2023 | 69.46 Mn |
| Dec 31, 2022 | 60.35 Mn |
| Sep 30, 2022 | 76.28 Mn |
| Jun 30, 2022 | 16.36 Mn |
| Dec 31, 2021 | 6.29 Mn |
API Access
United Maritime Total Non-Current 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-non-current-liabilities&ticker=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();