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 (-87.8%) and $491 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | - |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | - |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | - |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | - |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 57.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Sep 30, 2022 | 478.00 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();