3M (MMM) Divestments (2009 - 2023)
3M's Divestments came in at $5 million for FY2025.
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Analysis
3M (MMM) Divestments (2009 - 2023) Analysis & Trends
Going back to FY2009, 3M's Divestments data covers 11 years.
- Divestments carries a five-year compound annual growth rate of -61.3% (FY2020 to FY2025).
- Per Business Quant, earlier years put Divestments at $60 million in FY2023 (+361.5%) and $13 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | -92.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | - |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | - |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 57.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2022 | 13.00 Mn |
| Sep 30, 2020 | 3.00 Mn |
| Jun 30, 2020 | 487.00 Mn |
| Mar 31, 2020 | 86.00 Mn |
| Sep 30, 2019 | 230.00 Mn |
| Mar 31, 2019 | 6.00 Mn |
| Dec 31, 2018 | 40.00 Mn |
| Jun 30, 2018 | 766.00 Mn |
| Mar 31, 2018 | 40.00 Mn |
| Dec 31, 2017 | 203.00 Mn |
| Jun 30, 2017 | 809.00 Mn |
| Mar 31, 2017 | 53.00 Mn |
| Dec 31, 2016 | 86.00 Mn |
| Mar 31, 2016 | 56.00 Mn |
| Dec 31, 2015 | 104.00 Mn |
| Mar 31, 2015 | 19.00 Mn |
| Dec 31, 2009 | -2.00 Mn |
API Access
3M Divestments 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=divestments&ticker=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();