3M (MMM) Total Liabilities (2009 - 2026)
3M's Total Liabilities was $31.92 billion in Q2 2026, down 5.1% from $33.64 billion a year earlier and down 0.6% from the prior quarter.
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Analysis
3M (MMM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at 3M came in at $32.99 billion, down 8.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $35.97 billion in FY2024 (-21.3%), $45.71 billion in FY2023 (+44.3%), $31.69 billion in FY2022 (-0.8%) and $31.96 billion in FY2021 (-7.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2023.
- Compared with a year earlier, Total Liabilities has declined for nine straight quarters, with an average decline of 14.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2024 (growth of 59.5%); the worst was Q1 2025 (a decline of 29.6%).
- Per Business Quant data, MMM's Total Liabilities in the three quarters before Q2 2026 was $32.13 billion (Q1 2026), $32.99 billion (Q4 2025) and $32.94 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 21.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.92 Bn |
| Mar 31, 2026 | 32.13 Bn |
| Dec 31, 2025 | 32.99 Bn |
| Sep 30, 2025 | 32.94 Bn |
| Jun 30, 2025 | 33.64 Bn |
| Mar 31, 2025 | 35.43 Bn |
| Dec 31, 2024 | 35.97 Bn |
| Sep 30, 2024 | 36.18 Bn |
| Jun 30, 2024 | 39.39 Bn |
| Mar 31, 2024 | 50.31 Bn |
| Dec 31, 2023 | 45.71 Bn |
| Sep 30, 2023 | 44.89 Bn |
| Jun 30, 2023 | 41.02 Bn |
| Mar 31, 2023 | 31.54 Bn |
| Dec 31, 2022 | 31.69 Bn |
| Sep 30, 2022 | 32.02 Bn |
| Jun 30, 2022 | 31.82 Bn |
| Mar 31, 2022 | 30.85 Bn |
| Dec 31, 2021 | 31.96 Bn |
| Sep 30, 2021 | 33.75 Bn |
API Access
3M Total 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-liabilities&ticker=MMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();