Leggett & Platt (LEG) Revenue (2009 - 2026)
Leggett & Platt's Revenue came in at $999.7 million for Q2 2026, down 5.5% from $1.06 billion a year earlier but up 8.9% from the prior quarter.
Leggett & Platt (LEG) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Leggett & Platt reported Revenue of $3.89 billion, down 8.1% year-over-year; for FY2025, it was $4.06 billion, down 7.5% from FY2024.
- Revenue has declined in each of the last three years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Revenue was $4.38 billion in FY2024 (-7.2%), $4.73 billion in FY2023 (-8.2%), $5.15 billion in FY2022 (+1.5%) and $5.07 billion in FY2021 (+18.5%).
- The five-year range for quarterly Revenue is $918.2 million (Q1 2026) to $1.33 billion (Q2 2022).
- Year-over-year, Revenue has declined for 16 consecutive quarters, with an average decline of 7.2% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q1 2022 (growth of 14.9%), and the weakest in Q4 2025 (a decline of 11.2%).
- Business Quant data shows LEG's Revenue at $918.2 million (Q1 2026), $938.6 million (Q4 2025) and $1.04 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 999.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 999.70 Mn |
| Mar 31, 2026 | 918.20 Mn |
| Dec 31, 2025 | 938.60 Mn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.29 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.33 Bn |
| Sep 30, 2021 | 1.32 Bn |
Leggett & Platt 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=revenue&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();