Genco Shipping & Trading (GNK) Operating Expenses (2009 - 2026)
Genco Shipping & Trading's Operating Expenses was $114.66 million in Q2 2026, up 34.6% from $85.2 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Genco Shipping & Trading (GNK) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genco Shipping & Trading's Operating Expenses was $384.12 million through Jun 30, 2026, up 17.8% year-over-year; for FY2025, it came in at $334.58 million, down 0.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $335.97 million in FY2024 (-13.8%), $389.67 million in FY2023 (+5.4%), $369.7 million in FY2022 (+6.8%) and $346.01 million in FY2021 (-38.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2020.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 0.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 34.6%); the worst was Q4 2021 (a decline of 42.5%).
- Per Business Quant data, GNK's Operating Expenses in the three quarters before Q2 2026 was $101.12 million (Q1 2026), $90.89 million (Q4 2025) and $77.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Genco Shipping & Trading | 1.13 Bn | 1.13 Bn | 92.30 Mn | 114.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.66 Mn |
| Mar 31, 2026 | 101.12 Mn |
| Dec 31, 2025 | 90.89 Mn |
| Sep 30, 2025 | 77.45 Mn |
| Jun 30, 2025 | 85.20 Mn |
| Mar 31, 2025 | 81.04 Mn |
| Dec 31, 2024 | 84.59 Mn |
| Sep 30, 2024 | 75.30 Mn |
| Jun 30, 2024 | 80.73 Mn |
| Mar 31, 2024 | 95.34 Mn |
| Dec 31, 2023 | 108.48 Mn |
| Sep 30, 2023 | 113.71 Mn |
| Jun 30, 2023 | 77.53 Mn |
| Mar 31, 2023 | 89.95 Mn |
| Dec 31, 2022 | 96.20 Mn |
| Sep 30, 2022 | 90.79 Mn |
| Jun 30, 2022 | 88.57 Mn |
| Mar 31, 2022 | 94.13 Mn |
| Dec 31, 2021 | 90.10 Mn |
| Sep 30, 2021 | 89.88 Mn |
API Access
Genco Shipping & Trading Operating Expenses 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=operating-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();