Genco Shipping & Trading (GNK) EBITDA (2009 - 2026)
Genco Shipping & Trading's EBITDA came in at $44.12 million for Q2 2026, up 218.1% from $13.87 million a year earlier and up 28.4% from the prior quarter.
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Analysis
Genco Shipping & Trading (GNK) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genco Shipping & Trading reported EBITDA of $140.4 million, up 48.2% year-over-year; for FY2025, it was $83.7 million, down 46.2% from FY2024.
- Going back by year, EBITDA was $155.72 million in FY2024 (+156.9%), $60.62 million in FY2023 (-73.3%), $227.43 million in FY2022 (-11.6%) and $257.35 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2022.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 59.9% over the last seven quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2026 (growth of 335.1%), and the weakest in Q1 2025 (a decline of 79.9%).
- Business Quant data shows GNK's EBITDA at $34.35 million (Q1 2026), $40.17 million (Q4 2025) and $21.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.79 Bn | 165.32 Bn | - | 3.40 Bn |
| 2 | Csx | 89.31 Bn | 85.52 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.09 Bn | 60.98 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.29 Bn | 76.31 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.22 Bn | 67.86 Bn | - | 1.48 Bn |
| 6 | Fedex | 71.16 Bn | 37.10 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.19 Bn | 32.37 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.30 Bn | 38.56 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.93 Bn | -24.45 Bn | - | 1.86 Bn |
| 10 | Genco Shipping & Trading | 1.08 Bn | 810.02 Mn | 92.30 Mn | 44.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.77 Mn |
| Mar 31, 2026 | 34.96 Mn |
| Dec 31, 2025 | 40.78 Mn |
| Sep 30, 2025 | 22.37 Mn |
| Jun 30, 2025 | 14.37 Mn |
| Mar 31, 2025 | 8.39 Mn |
| Dec 31, 2024 | 32.84 Mn |
| Sep 30, 2024 | 41.16 Mn |
| Jun 30, 2024 | 43.91 Mn |
| Mar 31, 2024 | 39.82 Mn |
| Dec 31, 2023 | 24.20 Mn |
| Sep 30, 2023 | -12.84 Mn |
| Jun 30, 2023 | 30.24 Mn |
| Mar 31, 2023 | 20.81 Mn |
| Dec 31, 2022 | 47.23 Mn |
| Sep 30, 2022 | 61.19 Mn |
| Jun 30, 2022 | 64.14 Mn |
| Mar 31, 2022 | 56.57 Mn |
| Dec 31, 2021 | 108.43 Mn |
| Sep 30, 2021 | 80.45 Mn |
API Access
Genco Shipping & Trading EBITDA 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=ebitda&ticker=GNK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();