EuroDry (EDRY) Total Non-Current Liabilities (2017 - 2026)
EuroDry (EDRY) recorded Total Non-Current Liabilities of $75.65 million in Q2 2026, down 14.9% from $88.89 million a year earlier and down 14.4% from the prior quarter.
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Analysis
EuroDry (EDRY) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, EuroDry reported Total Non-Current Liabilities of $90.87 million, down 4.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $95.38 million in FY2024 (+10.7%), $86.14 million in FY2023 (+47.6%), $58.36 million in FY2022 (-9.8%) and $64.7 million in FY2021 (+71.6%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q2 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 0.5% over the last six quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 71.6% in Q4 2021, against a decline of 99.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $88.35 million (Q1 2026), $90.87 million (Q4 2025) and $84.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 48.84 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 53.87 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.27 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 29.45 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 639.21 Mn |
| 10 | EuroDry | 94.72 Mn | 23.05 Mn | 16.17 Mn | 75.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.65 Mn |
| Mar 31, 2026 | 88.35 Mn |
| Dec 31, 2025 | 90.87 Mn |
| Sep 30, 2025 | 9,171.00 |
| Jun 30, 2025 | 88.89 Mn |
| Mar 31, 2025 | 91.61 Mn |
| Dec 31, 2024 | 95.38 Mn |
| Jun 30, 2024 | 83.74 Mn |
| Mar 31, 2024 | 83.75 Mn |
| Dec 31, 2023 | 86.14 Mn |
| Jun 30, 2023 | 66.62 Mn |
| Mar 31, 2023 | 69.35 Mn |
| Dec 31, 2022 | 58.36 Mn |
| Sep 30, 2022 | 60.70 Mn |
| Jun 30, 2022 | 48.12 Mn |
| Mar 31, 2022 | 61.97 Mn |
| Dec 31, 2021 | 64.70 Mn |
| Sep 30, 2021 | 61.82 Mn |
| Jun 30, 2021 | 47.42 Mn |
| Mar 31, 2021 | 41.72 Mn |
API Access
EuroDry 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=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EDRY", "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=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();