3M (MMM) Total Non-Current Liabilities (2009 - 2026)
3M (MMM) reported Total Non-Current Liabilities of $23.79 billion for Q2 2026, up 5.7% from $22.49 billion a year earlier and up 10.5% from the prior quarter.
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Analysis
3M (MMM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, 3M posted Total Non-Current Liabilities of $22.16 billion, down 8.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $24.19 billion in FY2024 (-23.7%), $31.69 billion in FY2023 (+21.6%), $26.07 billion in FY2022 (-8.7%) and $28.55 billion in FY2021 (-7.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 15.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 40.2%); the low point was Q1 2025 (a decline of 34.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.52 billion (Q1 2026), $22.16 billion (Q4 2025) and $22.62 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Cummins | 71.14 Bn | 68.27 Bn | 2.47 Bn | 18.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.79 Bn |
| Mar 31, 2026 | 21.52 Bn |
| Dec 31, 2025 | 22.16 Bn |
| Sep 30, 2025 | 22.62 Bn |
| Jun 30, 2025 | 22.49 Bn |
| Mar 31, 2025 | 23.98 Bn |
| Dec 31, 2024 | 24.19 Bn |
| Sep 30, 2024 | 24.87 Bn |
| Jun 30, 2024 | 28.29 Bn |
| Mar 31, 2024 | 36.59 Bn |
| Dec 31, 2023 | 31.69 Bn |
| Sep 30, 2023 | 30.74 Bn |
| Jun 30, 2023 | 26.37 Bn |
| Mar 31, 2023 | 26.09 Bn |
| Dec 31, 2022 | 26.07 Bn |
| Sep 30, 2022 | 26.46 Bn |
| Jun 30, 2022 | 27.14 Bn |
| Mar 31, 2022 | 27.35 Bn |
| Dec 31, 2021 | 28.55 Bn |
| Sep 30, 2021 | 30.40 Bn |
API Access
3M Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();