Mueller Industries (MLI) Depreciation and Depletion (2011 - 2026)
Mueller Industries' Depreciation and Depletion came in at $17.34 million for Q2 2026, down 3.2% from $17.91 million a year earlier but up 4.1% from the prior quarter.
Mueller Industries (MLI) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Mueller Industries reported Depreciation and Depletion of $46.76 million, down 14.8% year-over-year; for FY2025, it was $47.8 million, up 21.9% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $39.2 million in FY2024 (+12.2%), $34.95 million in FY2023 (-8.5%), $38.2 million in FY2022 (-2.4%) and $39.12 million in FY2021 (+1.0%).
- The five-year range for quarterly Depreciation and Depletion is -$3.84 million (Q4 2025) to $17.91 million (Q2 2025).
- Year-over-year, Depreciation and Depletion increased in five of the last seven quarters, with growth averaging 46.4%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2024 (growth of 106.9%), and the weakest in Q4 2023 (a decline of 21.1%).
- Business Quant data shows MLI's Depreciation and Depletion at $16.65 million (Q1 2026), -$3.84 million (Q4 2025) and $16.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | - |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Mueller Industries | 13.57 Bn | 8.07 Bn | 395.35 Mn | 17.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.34 Mn |
| Mar 28, 2026 | 16.65 Mn |
| Dec 27, 2025 | -3.84 Mn |
| Sep 27, 2025 | 16.61 Mn |
| Jun 28, 2025 | 17.91 Mn |
| Mar 29, 2025 | 17.12 Mn |
| Dec 28, 2024 | 8.06 Mn |
| Sep 28, 2024 | 11.79 Mn |
| Jun 29, 2024 | 10.10 Mn |
| Mar 30, 2024 | 9.25 Mn |
| Dec 30, 2023 | 3.90 Mn |
| Sep 30, 2023 | 9.80 Mn |
| Jul 1, 2023 | 10.51 Mn |
| Apr 1, 2023 | 10.75 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Sep 24, 2022 | 10.94 Mn |
| Jun 25, 2022 | 11.39 Mn |
| Mar 26, 2022 | 10.93 Mn |
| Dec 25, 2021 | 5.19 Mn |
| Sep 25, 2021 | 10.96 Mn |
Mueller Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();