3M (MMM) Property, Plant & Equipment (Net) (2009 - 2026)
3M (MMM) posted Property, Plant & Equipment (Net) of $6.88 billion for Q2 2026, down 7.0% from $7.39 billion a year earlier and down 1.2% from the prior quarter.
3M (MMM) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, 3M's Property, Plant & Equipment (Net) came in at $7.1 billion, down 3.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, 3M's Property, Plant & Equipment (Net) was $7.39 billion in FY2024 (-3.9%), $7.69 billion in FY2023 (-16.2%), $9.18 billion in FY2022 (-2.7%) and $9.43 billion in FY2021 (+0.1%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 17 quarters, with an average decline of 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 1.6%; the weakest was Q1 2025, with a decline of 18.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $6.96 billion (Q1 2026), $7.1 billion (Q4 2025) and $7.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Cummins | 72.76 Bn | 69.90 Bn | 2.47 Bn | 7.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.88 Bn |
| Mar 31, 2026 | 6.96 Bn |
| Dec 31, 2025 | 7.10 Bn |
| Sep 30, 2025 | 7.25 Bn |
| Jun 30, 2025 | 7.39 Bn |
| Mar 31, 2025 | 7.36 Bn |
| Dec 31, 2024 | 7.39 Bn |
| Sep 30, 2024 | 7.53 Bn |
| Jun 30, 2024 | 7.47 Bn |
| Mar 31, 2024 | 9.07 Bn |
| Dec 31, 2023 | 7.69 Bn |
| Sep 30, 2023 | 9.00 Bn |
| Jun 30, 2023 | 9.21 Bn |
| Mar 31, 2023 | 9.25 Bn |
| Dec 31, 2022 | 9.18 Bn |
| Sep 30, 2022 | 9.20 Bn |
| Jun 30, 2022 | 9.32 Bn |
| Mar 31, 2022 | 9.39 Bn |
| Dec 31, 2021 | 9.43 Bn |
| Sep 30, 2021 | 9.32 Bn |
3M Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();