Mueller Industries (MLI) Total Non-Current Liabilities (2009 - 2026)
Mueller Industries (MLI) reported Total Non-Current Liabilities of $667.56 million for Q2 2026, up 25.6% from $531.66 million a year earlier and up 17.9% from the prior quarter.
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Analysis
Mueller Industries (MLI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mueller Industries posted Total Non-Current Liabilities of $481.44 million, up 2.2% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 57.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $471.08 million in FY2024 (+22.2%), $385.56 million in FY2023 (+796.6%), $43 million in FY2022 (-6.6%) and $46.06 million in FY2021 (-7.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 13 quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 869.4%); the low point was Q4 2021 (a decline of 7.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $566.03 million (Q1 2026), $481.44 million (Q4 2025) and $585.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 26.86 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Mueller Industries | 12.53 Bn | 7.00 Bn | 395.35 Mn | 655.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 655.82 Mn |
| Mar 28, 2026 | 555.07 Mn |
| Dec 27, 2025 | 472.14 Mn |
| Sep 27, 2025 | 585.59 Mn |
| Jun 28, 2025 | 519.38 Mn |
| Mar 29, 2025 | 516.96 Mn |
| Dec 28, 2024 | 459.48 Mn |
| Sep 28, 2024 | 455.26 Mn |
| Jun 29, 2024 | 445.35 Mn |
| Mar 30, 2024 | 420.91 Mn |
| Dec 30, 2023 | 375.20 Mn |
| Sep 30, 2023 | 381.03 Mn |
| Jul 1, 2023 | 400.40 Mn |
| Apr 1, 2023 | 459.59 Mn |
| Dec 31, 2022 | 412.06 Mn |
| Sep 24, 2022 | 423.20 Mn |
| Jun 25, 2022 | 464.12 Mn |
| Mar 26, 2022 | 501.08 Mn |
| Dec 25, 2021 | 432.48 Mn |
| Sep 25, 2021 | 556.03 Mn |
API Access
Mueller Industries 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=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();