Leggett & Platt (LEG) Amortization - Intangibles (2009 - 2026)
Leggett & Platt (LEG) posted Amortization - Intangibles of $3.1 million for Q2 2026, down 13.9% from $3.6 million a year earlier and down 13.9% from the prior quarter.
Leggett & Platt (LEG) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Leggett & Platt was $14.3 million, down 31.9% year-over-year; for FY2025, it was $16.2 million, down 26.4% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -24.3% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Amortization - Intangibles was $22 million in FY2024 (-68.1%), $69 million in FY2023 (+3.3%), $66.8 million in FY2022 (-1.0%) and $67.5 million in FY2021 (+3.5%).
- The Q2 2026 figure stands as the lowest quarterly Amortization - Intangibles in data going back to Q2 2009.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last five quarters, with an average decline of 33.4% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q3 2021, with growth of 9.9%; the weakest was Q2 2024, with a decline of 72.0%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $3.6 million (Q1 2026), $3.8 million (Q4 2025) and $3.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 3.80 Mn |
| Sep 30, 2025 | 3.80 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 7.20 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 4.90 Mn |
| Dec 31, 2023 | 17.40 Mn |
| Sep 30, 2023 | 17.90 Mn |
| Jun 30, 2023 | 16.80 Mn |
| Mar 31, 2023 | 16.90 Mn |
| Dec 31, 2022 | 16.80 Mn |
| Sep 30, 2022 | 16.60 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 17.00 Mn |
| Dec 31, 2021 | 15.90 Mn |
| Sep 30, 2021 | 17.80 Mn |
Leggett & Platt Amortization - 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=amortization-intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();