Mueller Industries (MLI) Total Liabilities (2009 - 2026)
Mueller Industries (MLI) reported Total Liabilities of $683.25 million for Q2 2026, up 25.0% from $546.82 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Mueller Industries (MLI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mueller Industries posted Total Liabilities of $497.12 million, up 2.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $486.5 million in FY2024 (+21.4%), $400.59 million in FY2023 (-6.5%), $428.44 million in FY2022 (-9.2%) and $471.97 million in FY2021 (-35.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q2 2021.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 16.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 25.0%); the low point was Q2 2022 (a decline of 38.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $581.53 million (Q1 2026), $497.12 million (Q4 2025) and $600.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Mueller Industries | 13.40 Bn | 7.91 Bn | 395.35 Mn | 683.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 683.25 Mn |
| Mar 28, 2026 | 581.53 Mn |
| Dec 27, 2025 | 497.12 Mn |
| Sep 27, 2025 | 600.74 Mn |
| Jun 28, 2025 | 546.82 Mn |
| Mar 29, 2025 | 544.21 Mn |
| Dec 28, 2024 | 486.50 Mn |
| Sep 28, 2024 | 497.50 Mn |
| Jun 29, 2024 | 493.33 Mn |
| Mar 30, 2024 | 445.87 Mn |
| Dec 30, 2023 | 400.59 Mn |
| Sep 30, 2023 | 412.51 Mn |
| Jul 1, 2023 | 433.48 Mn |
| Apr 1, 2023 | 492.15 Mn |
| Dec 31, 2022 | 428.44 Mn |
| Sep 24, 2022 | 455.10 Mn |
| Jun 25, 2022 | 501.35 Mn |
| Mar 26, 2022 | 539.81 Mn |
| Dec 25, 2021 | 471.97 Mn |
| Sep 25, 2021 | 602.31 Mn |
API Access
Mueller Industries 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=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MLI", "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=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();