Gatx (GATX) Return on Sales [ROS] (2009 - 2026)
Gatx's Return on Sales [ROS] was 17.20% in Q2 2026, down 1.50 percentage points from 18.70% a year earlier but up 3.58 percentage points from the prior quarter.
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Analysis
Gatx (GATX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gatx's Return on Sales [ROS] was 15.00% through Jun 30, 2026, down 19.23 percentage points year-over-year; for FY2025, it came in at 16.04%, down 21.96 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -10.06 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 37.99% in FY2024 (+1.93 pp), 36.07% in FY2023 (+5.35 pp), 30.72% in FY2022 (-1.02 pp) and 31.74% in FY2021 (+5.64 pp).
- Quarterly Return on Sales [ROS] has moved between 13.34% (Q3 2025) and 48.33% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -9.86 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 23.25 percentage points); the worst was Q3 2025 (a drop of 29.68 percentage points).
- Per Business Quant data, GATX's Return on Sales [ROS] in the three quarters before Q2 2026 was 13.62% (Q1 2026), 15.57% (Q4 2025) and 13.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 19.48% |
| 10 | Gatx | 5.84 Bn | 3.72 Bn | - | 17.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.20% |
| Mar 31, 2026 | 13.62% |
| Dec 31, 2025 | 15.57% |
| Sep 30, 2025 | 13.34% |
| Jun 30, 2025 | 18.70% |
| Mar 31, 2025 | 39.14% |
| Dec 31, 2024 | 36.76% |
| Sep 30, 2024 | 43.02% |
| Jun 30, 2024 | 32.32% |
| Mar 31, 2024 | 39.75% |
| Dec 31, 2023 | 32.74% |
| Sep 30, 2023 | 33.80% |
| Jun 30, 2023 | 38.05% |
| Mar 31, 2023 | 40.10% |
| Dec 31, 2022 | 31.89% |
| Sep 30, 2022 | 27.69% |
| Jun 30, 2022 | 14.81% |
| Mar 31, 2022 | 48.33% |
| Dec 31, 2021 | 32.90% |
| Sep 30, 2021 | 32.38% |
API Access
Gatx 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=GATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GATX", "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=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();