International Seaways (INSW) Return on Sales [ROS] (2015 - 2026)
International Seaways' Return on Sales [ROS] came in at 64.49% for Q2 2026, up 29.03 percentage points from 35.46% a year earlier but down 24.17 percentage points from the prior quarter.
International Seaways (INSW) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, International Seaways reported Return on Sales [ROS] of 64.18%, up 29.81 percentage points year-over-year; for FY2025, it came in at 40.96%, down 6.88 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +30.52 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 47.84% in FY2024 (-9.58 pp), 57.42% in FY2023 (+6.15 pp), 51.28% in FY2022 (+92.42 pp) and -41.14% in FY2021 (-51.58 pp).
- The five-year range for quarterly Return on Sales [ROS] is -74.07% (Q3 2021) to 88.66% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +2.80 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 151.99 percentage points), and the weakest in Q3 2021 (a drop of 96.28 percentage points).
- Business Quant data shows INSW's Return on Sales [ROS] at 88.66% (Q1 2026), 51.58% (Q4 2025) and 40.07% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | International Seaways | 5.73 Bn | 5.73 Bn | - | 64.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.49% |
| Mar 31, 2026 | 88.66% |
| Dec 31, 2025 | 51.58% |
| Sep 30, 2025 | 40.07% |
| Jun 30, 2025 | 35.46% |
| Mar 31, 2025 | 32.27% |
| Dec 31, 2024 | 23.14% |
| Sep 30, 2024 | 44.84% |
| Jun 30, 2024 | 60.13% |
| Mar 31, 2024 | 56.28% |
| Dec 31, 2023 | 58.75% |
| Sep 30, 2023 | 47.23% |
| Jun 30, 2023 | 57.73% |
| Mar 31, 2023 | 64.53% |
| Dec 31, 2022 | 68.84% |
| Sep 30, 2022 | 54.22% |
| Jun 30, 2022 | 46.43% |
| Mar 31, 2022 | -5.55% |
| Dec 31, 2021 | -21.18% |
| Sep 30, 2021 | -74.07% |
International Seaways Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=INSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INSW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=INSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();