Genco Shipping & Trading (GNK) Non Operating Interest Expenses (2009 - 2026)
Genco Shipping & Trading (GNK) recorded Non Operating Interest Expenses of $6.38 million in Q3 2026, up 102.4% from $3.15 million a year earlier and up 10.9% from the prior quarter.
Genco Shipping & Trading (GNK) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Genco Shipping & Trading's Non Operating Interest Expenses came in at $20.63 million as of Sep 30, 2026, up 86.0% year-over-year; for FY2025, it was $12.26 million, down 7.8% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $13.3 million in FY2024 (+51.4%), $8.78 million in FY2023 (-3.5%), $9.09 million in FY2022 (-40.8%) and $15.36 million in FY2021 (-31.5%).
- The Q3 2026 figure is the highest quarterly Non Operating Interest Expenses since Q1 2020.
- On a year-over-year basis, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 37.0% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 124.8% in Q2 2026, against a decline of 51.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.75 million (Q2 2026), $4.5 million (Q1 2026) and $4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 312.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 289.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 207.00 Mn |
| 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 | - | 193.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 359.00 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 32,000.00 |
| 10 | Genco Shipping & Trading | 1.14 Bn | 865.23 Mn | 104.60 Mn | 6.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.38 Mn |
| Jun 30, 2026 | 5.75 Mn |
| Mar 31, 2026 | 4.50 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 3.15 Mn |
| Jun 30, 2025 | 2.56 Mn |
| Mar 31, 2025 | 2.55 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | 3.45 Mn |
| Mar 31, 2024 | 4.04 Mn |
| Dec 31, 2023 | 2.62 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Mar 31, 2023 | 2.03 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 2.28 Mn |
| Jun 30, 2022 | 2.41 Mn |
| Mar 31, 2022 | 2.24 Mn |
| Dec 31, 2021 | 2.40 Mn |
Genco Shipping & Trading Non Operating Interest 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=non-operating-interest-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();