Mueller Industries (MLI) Cash & Equivalents (2009 - 2026)
Mueller Industries (MLI) reported Cash & Equivalents of $1.45 billion for Q3 2026, up 14.8% from $1.26 billion a year earlier and up 4.3% from the prior quarter.
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Analysis
Mueller Industries (MLI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Mueller Industries posted Cash & Equivalents of $1.37 billion, up 31.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 62.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $1.04 billion in FY2024 (-11.4%), $1.17 billion in FY2023 (+154.0%), $461.02 million in FY2022 (+424.3%) and $87.92 million in FY2021 (-26.2%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q2 2009.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 19.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2022 (growth of 424.3%); the low point was Q1 2025 (a decline of 38.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.39 billion (Q2 2026), $1.38 billion (Q1 2026) and $1.37 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 7.93 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 4.17 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 528.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 711.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.81 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 809.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 3.51 Bn |
| 10 | Mueller Industries | 11.99 Bn | 6.34 Bn | 361.44 Mn | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.45 Bn |
| Jun 27, 2026 | 1.39 Bn |
| Mar 28, 2026 | 1.38 Bn |
| Dec 27, 2025 | 1.37 Bn |
| Sep 27, 2025 | 1.26 Bn |
| Jun 28, 2025 | 1.00 Bn |
| Mar 29, 2025 | 830.10 Mn |
| Dec 28, 2024 | 1.04 Bn |
| Sep 28, 2024 | 965.12 Mn |
| Jun 29, 2024 | 825.66 Mn |
| Mar 30, 2024 | 1.36 Bn |
| Dec 30, 2023 | 1.17 Bn |
| Sep 30, 2023 | 979.79 Mn |
| Jul 1, 2023 | 771.32 Mn |
| Apr 1, 2023 | 611.40 Mn |
| Dec 31, 2022 | 461.02 Mn |
| Sep 24, 2022 | 483.50 Mn |
| Jun 25, 2022 | 202.50 Mn |
| Mar 26, 2022 | 139.26 Mn |
| Dec 25, 2021 | 87.92 Mn |
API Access
Mueller Industries Cash & Equivalents 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=cash-and-equivalents&ticker=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();