3M (MMM) Return on Sales [ROS] (2009 - 2026)
3M's Return on Sales [ROS] came in at 23.66% for Q3 2026, up 1.46 percentage points from 22.20% a year earlier and up 8.52 percentage points from the prior quarter.
3M (MMM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, 3M reported Return on Sales [ROS] of 18.75%, down 1.06 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 Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since 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 -0.05 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 15.14% (Q2 2026), 23.17% (Q1 2026) and 12.98% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Tenaris | 62.09 Bn | 33.35 Bn | 1.07 Bn | 19.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.66% |
| 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% |
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_KEY
import 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();