Kirby (KEX) Return on Sales [ROS] (2009 - 2026)
Kirby's Return on Sales [ROS] was 13.27% in Q2 2026, down 2.15 percentage points from 15.41% a year earlier but up 0.51 percentage points from the prior quarter.
Kirby (KEX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kirby's Return on Sales [ROS] was 14.01% through Jun 30, 2026, up 1.35 percentage points year-over-year; for FY2025, it was 14.75%, up 2.53 percentage points from FY2024.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +34.13 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 12.22% in FY2024 (+1.38 pp), 10.84% in FY2023 (+3.91 pp), 6.93% in FY2022 (+18.42 pp) and -11.49% in FY2021 (+7.89 pp).
- Quarterly Return on Sales [ROS] has moved between -52.92% (Q3 2021) and 15.41% (Q2 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.63 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 60.81 percentage points); the worst was Q3 2021 (a drop of 58.94 percentage points).
- Per Business Quant data, KEX's Return on Sales [ROS] in the three quarters before Q2 2026 was 12.76% (Q1 2026), 15.22% (Q4 2025) and 14.83% (Q3 2025).
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 | Kirby | 7.28 Bn | 7.06 Bn | 290.80 Mn | 13.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.27% |
| Mar 31, 2026 | 12.76% |
| Dec 31, 2025 | 15.22% |
| Sep 30, 2025 | 14.83% |
| Jun 30, 2025 | 15.41% |
| Mar 31, 2025 | 13.43% |
| Dec 31, 2024 | 6.25% |
| Sep 30, 2024 | 15.27% |
| Jun 30, 2024 | 14.62% |
| Mar 31, 2024 | 12.56% |
| Dec 31, 2023 | 11.61% |
| Sep 30, 2023 | 12.23% |
| Jun 30, 2023 | 11.23% |
| Mar 31, 2023 | 8.19% |
| Dec 31, 2022 | 7.91% |
| Sep 30, 2022 | 7.90% |
| Jun 30, 2022 | 6.67% |
| Mar 31, 2022 | 4.86% |
| Dec 31, 2021 | 5.34% |
| Sep 30, 2021 | -52.92% |
Kirby 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=KEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KEX", "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=KEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();