3M (MMM) Operating Expenses (2009 - 2026)
3M (MMM) posted Operating Expenses of $5.52 billion for Q2 2026, up 6.0% from $5.2 billion a year earlier and up 19.1% from the prior quarter.
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Analysis
3M (MMM) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at 3M was $20.56 billion, up 3.7% year-over-year; for FY2025, it came in at $20.32 billion, up 2.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior years, 3M's Operating Expenses was $19.75 billion in FY2024 (-44.0%), $35.3 billion in FY2023 (+62.0%), $21.79 billion in FY2022 (-22.1%) and $27.99 billion in FY2021 (+11.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 4.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 229.4%; the weakest was Q4 2022, with a decline of 77.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.63 billion (Q1 2026), $5.34 billion (Q4 2025) and $5.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.52 Bn |
| Mar 31, 2026 | 4.63 Bn |
| Dec 31, 2025 | 5.34 Bn |
| Sep 30, 2025 | 5.07 Bn |
| Jun 30, 2025 | 5.20 Bn |
| Mar 31, 2025 | 4.71 Bn |
| Dec 31, 2024 | 4.93 Bn |
| Sep 30, 2024 | 4.98 Bn |
| Jun 30, 2024 | 4.98 Bn |
| Mar 31, 2024 | 4.87 Bn |
| Dec 31, 2023 | 5.10 Bn |
| Sep 30, 2023 | 9.37 Bn |
| Jun 30, 2023 | 15.64 Bn |
| Mar 31, 2023 | 6.79 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 30, 2022 | 4.46 Bn |
| Jun 30, 2022 | 8.59 Bn |
| Mar 31, 2022 | 7.19 Bn |
| Dec 31, 2021 | 7.00 Bn |
| Sep 30, 2021 | 7.15 Bn |
API Access
3M Operating Expenses 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=operating-expenses&ticker=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();