Mueller Industries (MLI) Cash & Equivalents (2009 - 2026)
Mueller Industries (MLI) reported Cash & Equivalents of $1.39 billion for Q2 2026, up 38.6% from $1 billion a year earlier and up 0.5% 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 Q2 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 five quarters, with growth averaging 17.1% 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 Q2 2026 came in at $1.38 billion (Q1 2026), $1.37 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Mueller Industries | 13.57 Bn | 8.07 Bn | 395.35 Mn | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 104.79 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();