3M (MMM) EBITDA (2009 - 2026)
3M's EBITDA came in at $1.32 billion for Q2 2026, down 7.8% from $1.43 billion a year earlier and down 23.4% from the prior quarter.
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Analysis
3M (MMM) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 3M reported EBITDA of $6.01 billion, up 0.2% year-over-year; for FY2025, it came in at $5.94 billion, down 4.0% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $6.19 billion in FY2024, -$8.7 billion in FY2023, $6.2 billion in FY2022 (-33.2%) and $9.28 billion in FY2021 (+2.3%).
- The five-year range for quarterly EBITDA is -$8.91 billion (Q2 2023) to $4.61 billion (Q3 2022).
- Year-over-year, EBITDA increased in two of the last seven quarters, with an average decline of 2.1%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2022 (growth of 103.4%), and the weakest in Q2 2022 (a decline of 76.6%).
- Business Quant data shows MMM's EBITDA at $1.72 billion (Q1 2026), $1.23 billion (Q4 2025) and $1.75 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.72 Bn |
| Dec 31, 2025 | 1.23 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.43 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.41 Bn |
| Sep 30, 2024 | 1.63 Bn |
| Jun 30, 2024 | 1.57 Bn |
| Mar 31, 2024 | 1.58 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | -2.56 Bn |
| Jun 30, 2023 | -8.91 Bn |
| Mar 31, 2023 | 1.71 Bn |
| Dec 31, 2022 | -1.08 Bn |
| Sep 30, 2022 | 4.61 Bn |
| Jun 30, 2022 | 572.00 Mn |
| Mar 31, 2022 | 2.10 Bn |
| Dec 31, 2021 | 2.12 Bn |
| Sep 30, 2021 | 2.26 Bn |
API Access
3M EBITDA 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=ebitda&ticker=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();