Mueller Industries (MLI) Net Cash Flow (2009 - 2026)
Mueller Industries (MLI) recorded Net Cash Flow of $7.83 million in Q2 2026, down 94.9% from $153.67 million a year earlier but up 126.5% from the prior quarter.
Mueller Industries (MLI) Net Cash Flow (2009 - 2026) Analysis & Trends
On a TTM basis, Mueller Industries' Net Cash Flow came in at $391.08 million as of Jun 27, 2026, up 141.3% year-over-year; for FY2025, it came in at $335.92 million.
- Annual Net Cash Flow has a five-year compound annual growth rate of 65.3% (FY2020 to FY2025).
- Across earlier years, Net Cash Flow came in at -$121.51 million in FY2024, $703.34 million in FY2023 (+85.4%), $379.29 million in FY2022 and -$35.95 million in FY2021.
- Quarterly Net Cash Flow has ranged from -$518.68 million in Q2 2024 to $290.18 million in Q3 2022 over the past five years.
- On a year-over-year basis, Net Cash Flow rose in two of the last five quarters, with an average decline of 7.2%.
- Peak year-over-year performance for Net Cash Flow in the last five years was growth of 190.0% in Q1 2022, against a decline of 94.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.46 million (Q1 2026), $121.76 million (Q4 2025) and $258.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 2.62 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 571.30 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.09 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | -81.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 21.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 680.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 401.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | -831.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Mueller Industries | 13.40 Bn | 7.91 Bn | 395.35 Mn | 7.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.83 Mn |
| Mar 28, 2026 | 3.46 Mn |
| Dec 27, 2025 | 121.76 Mn |
| Sep 27, 2025 | 258.03 Mn |
| Jun 28, 2025 | 153.67 Mn |
| Mar 29, 2025 | -197.55 Mn |
| Dec 28, 2024 | 82.40 Mn |
| Sep 28, 2024 | 123.52 Mn |
| Jun 29, 2024 | -518.68 Mn |
| Mar 30, 2024 | 191.26 Mn |
| Dec 30, 2023 | 189.73 Mn |
| Sep 30, 2023 | 210.35 Mn |
| Jul 1, 2023 | 159.54 Mn |
| Apr 1, 2023 | 143.73 Mn |
| Dec 31, 2022 | -40.07 Mn |
| Sep 24, 2022 | 290.18 Mn |
| Jun 25, 2022 | 68.65 Mn |
| Mar 26, 2022 | 60.52 Mn |
| Dec 25, 2021 | -17.10 Mn |
| Sep 25, 2021 | -16.21 Mn |
Mueller Industries Net Cash Flow 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=net-cash-flow&ticker=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();