Mueller Industries (MLI) Other Accumulated Expenses (2009 - 2026)
Mueller Industries' Other Accumulated Expenses came in at $241.59 million for Q2 2026, up 27.3% from $189.74 million a year earlier and up 15.2% from the prior quarter.
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Analysis
Mueller Industries (MLI) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Mueller Industries' Other Accumulated Expenses was $165.91 million, up 7.1% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $154.9 million in FY2024 (+17.1%), $132.32 million in FY2023 (-13.3%), $152.63 million in FY2022 (+5.1%) and $145.19 million in FY2021 (+48.1%).
- The five-year range for quarterly Other Accumulated Expenses is $123.52 million (Q3 2023) to $253.52 million (Q3 2025).
- Year-over-year, Other Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2021 (growth of 72.2%), and the weakest in Q3 2023 (a decline of 16.2%).
- Business Quant data shows MLI's Other Accumulated Expenses at $209.8 million (Q1 2026), $165.91 million (Q4 2025) and $253.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Mueller Industries | 13.84 Bn | 8.34 Bn | 395.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 241.59 Mn |
| Mar 28, 2026 | 209.80 Mn |
| Dec 27, 2025 | 165.91 Mn |
| Sep 27, 2025 | 253.52 Mn |
| Jun 28, 2025 | 189.74 Mn |
| Mar 29, 2025 | 188.65 Mn |
| Dec 28, 2024 | 154.90 Mn |
| Sep 28, 2024 | 153.66 Mn |
| Jun 29, 2024 | 137.65 Mn |
| Mar 30, 2024 | 162.42 Mn |
| Dec 30, 2023 | 132.32 Mn |
| Sep 30, 2023 | 123.52 Mn |
| Jul 1, 2023 | 136.68 Mn |
| Apr 1, 2023 | 183.46 Mn |
| Dec 31, 2022 | 152.63 Mn |
| Sep 24, 2022 | 147.32 Mn |
| Jun 25, 2022 | 159.48 Mn |
| Mar 26, 2022 | 183.42 Mn |
| Dec 25, 2021 | 145.19 Mn |
| Sep 25, 2021 | 142.35 Mn |
API Access
Mueller Industries Other Accumulated Expenses 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=other-accumulated-expenses&ticker=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();