Mueller Industries (MLI) EBITDA (2009 - 2026)
Mueller Industries' EBITDA was $302.75 million in Q3 2026, up 3.4% from $292.72 million a year earlier but down 7.5% from the prior quarter.
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Analysis
Mueller Industries (MLI) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mueller Industries' EBITDA was $1.13 billion through Sep 26, 2026, up 10.9% year-over-year; for FY2025, it was $1.03 billion, up 24.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $823.77 million in FY2024 (+3.4%), $796.88 million in FY2023 (-13.5%), $921.28 million in FY2022 (+31.3%) and $701.5 million in FY2021 (+141.1%).
- Quarterly EBITDA has moved between $139.13 million (Q4 2023) and $328.88 million (Q1 2026) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 21.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 151.2%); the worst was Q4 2023 (a decline of 28.8%).
- Per Business Quant data, MLI's EBITDA in the three quarters before Q3 2026 was $327.31 million (Q2 2026), $328.88 million (Q1 2026) and $168.16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Mueller Industries | 11.98 Bn | 6.29 Bn | 361.44 Mn | 302.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 302.75 Mn |
| Jun 27, 2026 | 327.31 Mn |
| Mar 28, 2026 | 328.88 Mn |
| Dec 27, 2025 | 168.16 Mn |
| Sep 27, 2025 | 292.72 Mn |
| Jun 28, 2025 | 322.07 Mn |
| Mar 29, 2025 | 223.39 Mn |
| Dec 28, 2024 | 178.32 Mn |
| Sep 28, 2024 | 218.49 Mn |
| Jun 29, 2024 | 220.11 Mn |
| Mar 30, 2024 | 192.68 Mn |
| Dec 30, 2023 | 139.13 Mn |
| Sep 30, 2023 | 190.81 Mn |
| Jul 1, 2023 | 221.21 Mn |
| Apr 1, 2023 | 239.85 Mn |
| Dec 31, 2022 | 195.35 Mn |
| Sep 24, 2022 | 216.10 Mn |
| Jun 25, 2022 | 280.26 Mn |
| Mar 26, 2022 | 223.63 Mn |
| Dec 25, 2021 | 177.33 Mn |
API Access
Mueller Industries EBITDA 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=ebitda&ticker=MLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();