3M (MMM) Return on Sales [ROS] (2009 - 2026)
3M's Return on Sales [ROS] came in at 15.14% for Q2 2026, down 2.83 percentage points from 17.97% a year earlier and down 8.03 percentage points from the prior quarter.
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Analysis
3M (MMM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 3M reported Return on Sales [ROS] of 18.36%, down 1.09 percentage points year-over-year; for FY2025, it came in at 18.55%, down 1.07 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -3.70 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 19.62% in FY2024 (+63.06 pp), -43.43% in FY2023 (-60.13 pp), 16.70% in FY2022 (-4.14 pp) and 20.84% in FY2021 (-1.41 pp).
- The five-year range for quarterly Return on Sales [ROS] is -13981.82% (Q4 2022) to 48.22% (Q3 2022).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +8.56 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 13996.80 percentage points), and the weakest in Q4 2022 (a drop of 14000.58 percentage points).
- Business Quant data shows MMM's Return on Sales [ROS] at 23.17% (Q1 2026), 12.98% (Q4 2025) and 22.20% (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 | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 26.67% |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn | 13.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.14% |
| Mar 31, 2026 | 23.17% |
| Dec 31, 2025 | 12.98% |
| Sep 30, 2025 | 22.20% |
| Jun 30, 2025 | 17.97% |
| Mar 31, 2025 | 20.93% |
| Dec 31, 2024 | 18.05% |
| Sep 30, 2024 | 20.91% |
| Jun 30, 2024 | 20.34% |
| Mar 31, 2024 | 19.10% |
| Dec 31, 2023 | 14.98% |
| Sep 30, 2023 | -49.38% |
| Jun 30, 2023 | -148.94% |
| Mar 31, 2023 | 20.50% |
| Dec 31, 2022 | -13,981.82% |
| Sep 30, 2022 | 48.22% |
| Jun 30, 2022 | 1.26% |
| Mar 31, 2022 | 18.59% |
| Dec 31, 2021 | 18.76% |
| Sep 30, 2021 | 20.00% |
API Access
3M 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=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MMM", "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=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();