Leggett & Platt (LEG) Amortizatization of Intangibles (2009 - 2026)
Leggett & Platt's Amortizatization of Intangibles came in at $3.1 million for Q2 2026, down 13.9% from $3.6 million a year earlier and down 22.5% from the prior quarter.
Leggett & Platt (LEG) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Leggett & Platt reported Amortizatization of Intangibles of $15.1 million, down 30.4% year-over-year; for FY2025, it came in at $17.7 million, down 25.0% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -24.0% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $23.6 million in FY2024 (-66.8%), $71 million in FY2023 (+2.0%), $69.6 million in FY2022 (-1.7%) and $70.8 million in FY2021 (+1.1%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles in data going back to Q3 2009.
- Year-over-year, Amortizatization of Intangibles has declined for five consecutive quarters, with an average decline of 31.7% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q1 2025 (growth of 8.0%), and the weakest in Q1 2024 (a decline of 72.2%).
- Business Quant data shows LEG's Amortizatization of Intangibles at $4 million (Q1 2026), $4.2 million (Q4 2025) and $3.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 148.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 76.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | - |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 16.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 3.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 4.20 Mn |
| Sep 30, 2025 | 3.80 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | 5.50 Mn |
| Sep 30, 2024 | 7.20 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 17.10 Mn |
| Sep 30, 2023 | 17.90 Mn |
| Jun 30, 2023 | 16.80 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 18.20 Mn |
| Sep 30, 2022 | 16.60 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 17.50 Mn |
| Dec 31, 2021 | 17.40 Mn |
| Sep 30, 2021 | 17.60 Mn |
Leggett & Platt Amortizatization of 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=amortizatization-of-intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();