Leggett & Platt (LEG) Cash from Operations (2009 - 2026)
Leggett & Platt (LEG) recorded Cash from Operations of $45.8 million in Q2 2026, down 45.5% from $84 million a year earlier.
Leggett & Platt (LEG) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Leggett & Platt's Cash from Operations came in at $237.1 million as of Jun 30, 2026, down 23.2% year-over-year; for FY2025, it was $338.2 million, up 10.6% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $305.7 million in FY2024 (-38.5%), $497.2 million in FY2023 (+12.6%), $441.4 million in FY2022 (+62.7%) and $271.3 million in FY2021 (-55.0%).
- Quarterly Cash from Operations has ranged from -$56.1 million in Q1 2026 to $247.1 million in Q4 2022 over the past five years.
- On a year-over-year basis, Cash from Operations rose in 1 of the last six quarters, with an average decline of 12.5%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 147.9% in Q1 2023, against a decline of 80.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -$56.1 million (Q1 2026), $121.5 million (Q4 2025) and $125.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.37 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.56 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.13 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.74 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.10 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 986.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 723.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 45.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.80 Mn |
| Mar 31, 2026 | -56.10 Mn |
| Dec 31, 2025 | 121.50 Mn |
| Sep 30, 2025 | 125.90 Mn |
| Jun 30, 2025 | 84.00 Mn |
| Mar 31, 2025 | 6.80 Mn |
| Dec 31, 2024 | 122.30 Mn |
| Sep 30, 2024 | 95.50 Mn |
| Jun 30, 2024 | 94.00 Mn |
| Mar 31, 2024 | -6.10 Mn |
| Dec 31, 2023 | 146.10 Mn |
| Sep 30, 2023 | 143.80 Mn |
| Jun 30, 2023 | 110.60 Mn |
| Mar 31, 2023 | 96.70 Mn |
| Dec 31, 2022 | 247.10 Mn |
| Sep 30, 2022 | 65.50 Mn |
| Jun 30, 2022 | 89.80 Mn |
| Mar 31, 2022 | 39.00 Mn |
| Dec 31, 2021 | 190.90 Mn |
| Sep 30, 2021 | 50.10 Mn |
Leggett & Platt Cash from Operations 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=cash-from-operations&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "LEG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();