Genco Shipping & Trading (GNK) Operating Margin (2009 - 2026)
Genco Shipping & Trading's Operating Margin came in at 15.95% for Q2 2026, up 21.21 percentage points from -5.27% a year earlier and up 4.31 percentage points from the prior quarter.
Genco Shipping & Trading (GNK) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genco Shipping & Trading reported Operating Margin of 12.84%, up 5.82 percentage points year-over-year; for FY2025, it was 2.18%, down 18.39 percentage points from FY2024.
- Operating Margin carries a five-year change of +59.37 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 20.58% in FY2024 (+22.10 pp), -1.52% in FY2023 (-32.67 pp), 31.15% in FY2022 (-5.61 pp) and 36.76% in FY2021 (+93.95 pp).
- The five-year range for quarterly Operating Margin is -36.41% (Q3 2023) to 50.84% (Q4 2021).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +4.36 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2021 (a gain of 114.88 percentage points), and the weakest in Q3 2023 (a drop of 69.64 percentage points).
- Business Quant data shows GNK's Operating Margin at 11.63% (Q1 2026), 17.31% (Q4 2025) and 3.09% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 40.25% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 32.44% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.12% |
| 10 | Genco Shipping & Trading | 1.13 Bn | 1.13 Bn | 92.30 Mn | 15.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.95% |
| Mar 31, 2026 | 11.63% |
| Dec 31, 2025 | 17.31% |
| Sep 30, 2025 | 3.09% |
| Jun 30, 2025 | -5.27% |
| Mar 31, 2025 | -13.71% |
| Dec 31, 2024 | 14.73% |
| Sep 30, 2024 | 24.20% |
| Jun 30, 2024 | 24.58% |
| Mar 31, 2024 | 18.81% |
| Dec 31, 2023 | 6.09% |
| Sep 30, 2023 | -36.41% |
| Jun 30, 2023 | 14.39% |
| Mar 31, 2023 | 4.71% |
| Dec 31, 2022 | 24.23% |
| Sep 30, 2022 | 33.23% |
| Jun 30, 2022 | 35.71% |
| Mar 31, 2022 | 30.90% |
| Dec 31, 2021 | 50.84% |
| Sep 30, 2021 | 42.11% |
Genco Shipping & Trading Operating Margin 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-margin&ticker=GNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();