Leggett & Platt (LEG) Cost of Revenue (2009 - 2026)
Leggett & Platt's Cost of Revenue came in at $796.5 million for Q2 2026, down 8.0% from $865.4 million a year earlier but up 6.6% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Leggett & Platt reported Cost of Revenue of $3.16 billion, down 9.3% year-over-year; for FY2025, it came in at $3.31 billion, down 8.9% from FY2024.
- Cost of Revenue has declined in each of the last three years, with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $3.63 billion in FY2024 (-6.1%), $3.87 billion in FY2023 (-7.2%), $4.17 billion in FY2022 (+3.4%) and $4.03 billion in FY2021 (+19.5%).
- The five-year range for quarterly Cost of Revenue is $747.5 million (Q1 2026) to $1.07 billion (Q4 2021).
- Year-over-year, Cost of Revenue has declined for 15 consecutive quarters, with an average decline of 8.0% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2022 (growth of 16.8%), and the weakest in Q4 2025 (a decline of 12.5%).
- Business Quant data shows LEG's Cost of Revenue at $747.5 million (Q1 2026), $770.8 million (Q4 2025) and $842.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 796.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 796.50 Mn |
| Mar 31, 2026 | 747.50 Mn |
| Dec 31, 2025 | 770.80 Mn |
| Sep 30, 2025 | 842.70 Mn |
| Jun 30, 2025 | 865.40 Mn |
| Mar 31, 2025 | 832.10 Mn |
| Dec 31, 2024 | 880.80 Mn |
| Sep 30, 2024 | 901.10 Mn |
| Jun 30, 2024 | 942.10 Mn |
| Mar 31, 2024 | 910.50 Mn |
| Dec 31, 2023 | 915.30 Mn |
| Sep 30, 2023 | 961.10 Mn |
| Jun 30, 2023 | 1.00 Bn |
| Mar 31, 2023 | 995.00 Mn |
| Dec 31, 2022 | 985.20 Mn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
Leggett & Platt 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=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();