Mueller Industries (MLI) Cost of Revenue (2009 - 2026)
Mueller Industries (MLI) recorded Cost of Revenue of $1.03 billion in Q2 2026, up 31.5% from $785.19 million a year earlier and up 23.7% from the prior quarter.
Mueller Industries (MLI) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Mueller Industries' Cost of Revenue came in at $3.32 billion as of Jun 27, 2026, up 14.3% year-over-year; for FY2025, it was $2.97 billion, up 8.9% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $2.72 billion in FY2024 (+12.0%), $2.43 billion in FY2023 (-15.1%), $2.86 billion in FY2022 (-2.5%) and $2.94 billion in FY2021 (+49.5%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q2 2009.
- On a year-over-year basis, Cost of Revenue has increased for nine consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 48.6% in Q3 2021, against a decline of 22.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $834.56 million (Q1 2026), $714.56 million (Q4 2025) and $738.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Mueller Industries | 13.84 Bn | 8.34 Bn | 395.35 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.03 Bn |
| Mar 28, 2026 | 834.56 Mn |
| Dec 27, 2025 | 714.56 Mn |
| Sep 27, 2025 | 738.15 Mn |
| Jun 28, 2025 | 785.19 Mn |
| Mar 29, 2025 | 728.19 Mn |
| Dec 28, 2024 | 668.17 Mn |
| Sep 28, 2024 | 722.47 Mn |
| Jun 29, 2024 | 724.99 Mn |
| Mar 30, 2024 | 608.70 Mn |
| Dec 30, 2023 | 536.38 Mn |
| Sep 30, 2023 | 579.06 Mn |
| Jul 1, 2023 | 639.27 Mn |
| Apr 1, 2023 | 678.80 Mn |
| Dec 31, 2022 | 620.80 Mn |
| Sep 24, 2022 | 678.64 Mn |
| Jun 25, 2022 | 820.91 Mn |
| Mar 26, 2022 | 744.51 Mn |
| Dec 25, 2021 | 726.59 Mn |
| Sep 25, 2021 | 744.27 Mn |
Mueller Industries Cost of Revenue 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=cost-of-revenue&ticker=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();