Oshkosh (OSK) Return on Sales [ROS] (2009 - 2026)
Oshkosh (OSK) reported Return on Sales [ROS] of 8.34% for Q2 2026, down 2.33 percentage points from 10.68% a year earlier but up 4.80 percentage points from the prior quarter.
Oshkosh (OSK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oshkosh's Return on Sales [ROS] came in at 7.52%, down 1.70 percentage points year-over-year; for FY2025, it came in at 9.01%, down 0.40 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +1.94 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 9.42% in FY2024 (+0.75 pp), 8.67% in FY2023 (+4.18 pp), 4.50% in FY2022 (+2.17 pp) and 2.32% in FY2021.
- Five-year quarterly Return on Sales [ROS] spans a low of 1.63% in Q2 2022 and a high of 10.68% in Q2 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -1.11 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 4.44 percentage points); the low point was Q2 2022 (a drop of 6.06 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.54% (Q1 2026), 7.88% (Q4 2025) and 9.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.15 Bn | 287.84 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 181.56 Bn | 176.14 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 142.35 Bn | 139.53 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 111.11 Bn | 109.23 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.49 Bn | 83.23 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 79.13 Bn | 75.69 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 75.00 Bn | 65.62 Bn | 1.23 Bn | 19.48% |
| 10 | Oshkosh | 8.24 Bn | 6.89 Bn | 480.30 Mn | 8.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.34% |
| Mar 31, 2026 | 3.54% |
| Dec 31, 2025 | 7.88% |
| Sep 30, 2025 | 9.69% |
| Jun 30, 2025 | 10.68% |
| Mar 31, 2025 | 7.58% |
| Dec 31, 2024 | 8.62% |
| Sep 30, 2024 | 9.71% |
| Jun 30, 2024 | 9.16% |
| Mar 31, 2024 | 10.21% |
| Dec 31, 2023 | 8.73% |
| Sep 30, 2023 | 10.22% |
| Jun 30, 2023 | 9.73% |
| Mar 31, 2023 | 5.77% |
| Dec 31, 2022 | 6.67% |
| Sep 30, 2022 | 5.67% |
| Jun 30, 2022 | 3.69% |
| Mar 31, 2022 | 1.63% |
| Sep 30, 2021 | 6.51% |
| Jun 30, 2021 | 9.66% |
Oshkosh 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=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OSK", "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=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();