Genco Shipping & Trading (GNK) Other Operating Expenses (2009 - 2026)
Genco Shipping & Trading's Other Operating Expenses was $49.04 million in Q3 2026, up 87.3% from $26.18 million a year earlier but down 15.2% from the prior quarter.
Genco Shipping & Trading (GNK) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genco Shipping & Trading's Other Operating Expenses was $188.29 million through Sep 30, 2026, up 47.4% year-over-year; for FY2025, it came in at $129.06 million, down 5.5% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $136.53 million in FY2024 (-31.0%), $197.85 million in FY2023 (+7.3%), $184.33 million in FY2022 (+0.6%) and $183.24 million in FY2021 (-52.4%).
- Quarterly Other Operating Expenses has moved between $26.18 million (Q3 2025) and $65.36 million (Q3 2023) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for four straight quarters, with growth averaging 17.8% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2026 (growth of 87.3%); the worst was Q4 2021 (a decline of 60.1%).
- Per Business Quant data, GNK's Other Operating Expenses in the three quarters before Q3 2026 was $57.86 million (Q2 2026), $45.41 million (Q1 2026) and $35.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Genco Shipping & Trading | 1.14 Bn | 865.23 Mn | 104.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 397,000.00 |
| Jun 30, 2026 | 13.05 Mn |
| Mar 31, 2026 | 3.83 Mn |
| Dec 31, 2025 | 82.61 Mn |
| Sep 30, 2025 | 69.87 Mn |
| Jun 30, 2025 | 77.80 Mn |
| Mar 31, 2025 | 73.55 Mn |
| Jun 30, 2024 | 3.92 Mn |
| Mar 31, 2024 | 1.80 Mn |
| Dec 31, 2023 | 101.48 Mn |
| Sep 30, 2023 | 107.13 Mn |
| Jun 30, 2023 | 70.60 Mn |
| Mar 31, 2023 | 82.20 Mn |
| Dec 31, 2022 | 88.83 Mn |
| Sep 30, 2022 | 84.88 Mn |
| Jun 30, 2022 | 82.19 Mn |
| Mar 31, 2022 | 88.09 Mn |
| Dec 31, 2021 | 83.26 Mn |
| Sep 30, 2021 | 84.22 Mn |
| Jun 30, 2021 | 78.91 Mn |
Genco Shipping & Trading Other 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=other-operating-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();