Ingersoll Rand (IR) Return on Sales [ROS] (2016 - 2026)
Ingersoll Rand's Return on Sales [ROS] came in at 18.56% for Q2 2026, up 14.52 percentage points from 4.05% a year earlier and up 2.88 percentage points from the prior quarter.
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Analysis
Ingersoll Rand (IR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ingersoll Rand reported Return on Sales [ROS] of 18.08%, up 2.95 percentage points year-over-year; for FY2025, it was 14.96%, down 3.01 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +13.46 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 17.97% in FY2024 (+1.04 pp), 16.93% in FY2023 (+3.12 pp), 13.81% in FY2022 (+2.84 pp) and 10.98% in FY2021 (+9.48 pp).
- The five-year range for quarterly Return on Sales [ROS] is 4.05% (Q2 2025) to 19.95% (Q4 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.36 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 14.52 percentage points), and the weakest in Q2 2025 (a drop of 11.01 percentage points).
- Business Quant data shows IR's Return on Sales [ROS] at 15.68% (Q1 2026), 18.66% (Q4 2025) and 19.21% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 314.55 Bn | 286.24 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 177.65 Bn | 172.23 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 171.52 Bn | 139.61 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 139.81 Bn | 137.00 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 110.50 Bn | 108.62 Bn | 2.25 Bn | 23.86% |
| 6 | 3M | 89.90 Bn | 71.35 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 88.61 Bn | 81.35 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.30 Bn | 75.86 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 73.14 Bn | 63.76 Bn | 1.23 Bn | 19.48% |
| 10 | Ingersoll Rand | 28.58 Bn | 23.71 Bn | 862.60 Mn | 18.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.56% |
| Mar 31, 2026 | 15.68% |
| Dec 31, 2025 | 18.66% |
| Sep 30, 2025 | 19.21% |
| Jun 30, 2025 | 4.05% |
| Mar 31, 2025 | 17.62% |
| Dec 31, 2024 | 19.95% |
| Sep 30, 2024 | 19.15% |
| Jun 30, 2024 | 15.06% |
| Mar 31, 2024 | 17.56% |
| Dec 31, 2023 | 18.29% |
| Sep 30, 2023 | 18.31% |
| Jun 30, 2023 | 16.15% |
| Mar 31, 2023 | 14.75% |
| Dec 31, 2022 | 16.81% |
| Sep 30, 2022 | 12.54% |
| Jun 30, 2022 | 13.71% |
| Mar 31, 2022 | 11.74% |
| Dec 31, 2021 | 9.90% |
| Sep 30, 2021 | 12.37% |
API Access
Ingersoll Rand 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=IR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IR", "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=IR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();