Genco Shipping & Trading (GNK) Total Liabilities (2009 - 2026)
Genco Shipping & Trading's Total Liabilities was $371.09 million in Q2 2026, up 152.1% from $147.21 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Genco Shipping & Trading (GNK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Genco Shipping & Trading came in at $240.29 million, up 87.2% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $128.37 million in FY2024 (-43.5%), $227.26 million in FY2023 (+10.6%), $205.56 million in FY2022 (-28.2%) and $286.33 million in FY2021 (-41.3%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q2 2021.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 50.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 172.6%); the worst was Q1 2022 (a decline of 46.2%).
- Per Business Quant data, GNK's Total Liabilities in the three quarters before Q2 2026 was $365.01 million (Q1 2026), $240.29 million (Q4 2025) and $220.3 million (Q3 2025).
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 | Genco Shipping & Trading | 1.13 Bn | 1.13 Bn | 92.30 Mn | 371.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.09 Mn |
| Mar 31, 2026 | 365.01 Mn |
| Dec 31, 2025 | 240.29 Mn |
| Sep 30, 2025 | 220.30 Mn |
| Jun 30, 2025 | 147.21 Mn |
| Mar 31, 2025 | 133.88 Mn |
| Dec 31, 2024 | 128.37 Mn |
| Sep 30, 2024 | 112.88 Mn |
| Jun 30, 2024 | 134.66 Mn |
| Mar 31, 2024 | 201.18 Mn |
| Dec 31, 2023 | 227.26 Mn |
| Sep 30, 2023 | 178.61 Mn |
| Jun 30, 2023 | 180.45 Mn |
| Mar 31, 2023 | 194.32 Mn |
| Dec 31, 2022 | 205.56 Mn |
| Sep 30, 2022 | 233.22 Mn |
| Jun 30, 2022 | 235.68 Mn |
| Mar 31, 2022 | 233.43 Mn |
| Dec 31, 2021 | 286.33 Mn |
| Sep 30, 2021 | 346.08 Mn |
API Access
Genco Shipping & Trading 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=GNK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GNK", "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=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();