Leggett & Platt (LEG) Intangibles (2009 - 2026)
Leggett & Platt (LEG) posted Intangibles of $82.9 million for Q2 2026, down 15.2% from $97.8 million a year earlier and down 4.9% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt's Intangibles came in at $91.3 million, down 35.0% from FY2024.
- Annual Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -33.5% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Intangibles was $140.4 million in FY2024 (-16.2%), $167.5 million in FY2023 (-75.2%), $675.4 million in FY2022 (-4.6%) and $707.8 million in FY2021 (+0.9%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles in data going back to Q4 2009.
- On a year-over-year basis, Intangibles has declined in each of the last 18 quarters, with an average decline of 33.4% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q4 2021, with growth of 0.9%; the weakest was Q2 2024, with a decline of 75.8%.
- According to Business Quant data, Intangibles for the three prior quarters was $87.2 million (Q1 2026), $91.3 million (Q4 2025) and $94.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 82.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.90 Mn |
| Mar 31, 2026 | 87.20 Mn |
| Dec 31, 2025 | 91.30 Mn |
| Sep 30, 2025 | 94.90 Mn |
| Jun 30, 2025 | 97.80 Mn |
| Mar 31, 2025 | 98.40 Mn |
| Dec 31, 2024 | 140.40 Mn |
| Sep 30, 2024 | 151.40 Mn |
| Jun 30, 2024 | 156.10 Mn |
| Mar 31, 2024 | 161.80 Mn |
| Dec 31, 2023 | 167.50 Mn |
| Sep 30, 2023 | 622.50 Mn |
| Jun 30, 2023 | 644.70 Mn |
| Mar 31, 2023 | 660.40 Mn |
| Dec 31, 2022 | 675.40 Mn |
| Sep 30, 2022 | 689.10 Mn |
| Jun 30, 2022 | 665.50 Mn |
| Mar 31, 2022 | 688.10 Mn |
| Dec 31, 2021 | 707.80 Mn |
| Sep 30, 2021 | 718.60 Mn |
API Access
Leggett & Platt Intangibles 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=intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();