Leggett & Platt (LEG) Capital Expenditures (2009 - 2026)
Leggett & Platt's Capital Expenditures came in at $20.5 million for Q2 2026, up 141.2% from $8.5 million a year earlier but down 15.6% from the prior quarter.
Leggett & Platt (LEG) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Leggett & Platt reported Capital Expenditures of $80.2 million, up 29.4% year-over-year; for FY2025, it was $57.2 million, down 29.9% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $81.6 million in FY2024 (-28.3%), $113.8 million in FY2023 (+13.5%), $100.3 million in FY2022 (-5.9%) and $106.6 million in FY2021 (+61.0%).
- The five-year range for quarterly Capital Expenditures is $8.5 million (Q2 2025) to $37.7 million (Q1 2023).
- Year-over-year, Capital Expenditures increased in two of the last eight quarters, with growth averaging 10.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2021 (growth of 188.2%), and the weakest in Q2 2024 (a decline of 49.2%).
- Business Quant data shows LEG's Capital Expenditures at $24.3 million (Q1 2026), $19.6 million (Q4 2025) and $15.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 20.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.50 Mn |
| Mar 31, 2026 | 24.30 Mn |
| Dec 31, 2025 | 19.60 Mn |
| Sep 30, 2025 | 15.80 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 13.30 Mn |
| Dec 31, 2024 | 21.80 Mn |
| Sep 30, 2024 | 18.40 Mn |
| Jun 30, 2024 | 15.50 Mn |
| Mar 31, 2024 | 25.90 Mn |
| Dec 31, 2023 | 23.40 Mn |
| Sep 30, 2023 | 22.20 Mn |
| Jun 30, 2023 | 30.50 Mn |
| Mar 31, 2023 | 37.70 Mn |
| Dec 31, 2022 | 34.80 Mn |
| Sep 30, 2022 | 24.70 Mn |
| Jun 30, 2022 | 22.10 Mn |
| Mar 31, 2022 | 18.70 Mn |
| Dec 31, 2021 | 30.80 Mn |
| Sep 30, 2021 | 26.80 Mn |
Leggett & Platt Capital Expenditures 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=capital-expenditures&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();