Mueller Industries (MLI) Non-Current Assets (2009 - 2026)
Mueller Industries' Non-Current Assets came in at $1.41 billion for Q2 2026, up 10.9% from $1.27 billion a year earlier and up 11.2% from the prior quarter.
Powered by 
Analysis
Mueller Industries (MLI) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Mueller Industries' Non-Current Assets was $1.29 billion, up 0.7% from FY2024.
- Non-Current Assets has increased in each of the last four years, with a five-year compound annual growth rate of 75.1% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $1.28 billion in FY2024 (+77.8%), $719.28 million in FY2023 (+829.4%), $77.4 million in FY2022 (+1.3%) and $76.41 million in FY2021 (-2.3%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2009.
- Year-over-year, Non-Current Assets increased in six of the last eight quarters, with growth averaging 30.6%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2023 (growth of 829.4%), and the weakest in Q3 2022 (a decline of 4.5%).
- Business Quant data shows MLI's Non-Current Assets at $1.27 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.27 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Mueller Industries | 13.40 Bn | 7.91 Bn | 395.35 Mn | 1.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.41 Bn |
| Mar 28, 2026 | 1.27 Bn |
| Dec 27, 2025 | 1.29 Bn |
| Sep 27, 2025 | 1.27 Bn |
| Jun 28, 2025 | 1.27 Bn |
| Mar 29, 2025 | 1.27 Bn |
| Dec 28, 2024 | 1.28 Bn |
| Sep 28, 2024 | 1.29 Bn |
| Jun 29, 2024 | 1.26 Bn |
| Mar 30, 2024 | 709.64 Mn |
| Dec 30, 2023 | 719.28 Mn |
| Sep 30, 2023 | 726.97 Mn |
| Jul 1, 2023 | 94.76 Mn |
| Apr 1, 2023 | 93.53 Mn |
| Dec 31, 2022 | 77.40 Mn |
| Sep 24, 2022 | 78.40 Mn |
| Jun 25, 2022 | 83.69 Mn |
| Mar 26, 2022 | 79.10 Mn |
| Dec 25, 2021 | 76.41 Mn |
| Sep 25, 2021 | 82.07 Mn |
API Access
Mueller Industries Non-Current Assets 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=non-current-assets&ticker=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();