Leggett & Platt (LEG) Asset Writedowns and Impairment (2009 - 2026)
Leggett & Platt's Asset Writedowns and Impairment was $3.9 million in Q2 2026, up 8.3% from $3.6 million a year earlier and up 21.9% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Leggett & Platt's Asset Writedowns and Impairment was $18 million through Jun 30, 2026, up 104.5% year-over-year; for FY2025, it was $19 million, down 97.2% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $676 million in FY2024 (+52.4%), $443.7 million in FY2023, $17.1 million in FY2022 (+24.8%) and $13.7 million in FY2021 (-46.1%).
- Quarterly Asset Writedowns and Impairment has moved between -$500,000 (Q3 2023) and $675.3 million (Q2 2024) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in 1 of the last five quarters, with an average decline of 49.9%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2022 (growth of 179.3%); the worst was Q4 2024 (a decline of 99.8%).
- Per Business Quant data, LEG's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $3.2 million (Q1 2026), $8.1 million (Q4 2025) and $2.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 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 |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.90 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 8.10 Mn |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 700,000.00 |
| Jun 30, 2024 | 675.30 Mn |
| Mar 31, 2024 | 6.40 Mn |
| Dec 31, 2023 | 438.80 Mn |
| Sep 30, 2023 | -500,000.00 |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 8.10 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 3.20 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.40 Mn |
| Jun 30, 2021 | 5.50 Mn |
API Access
Leggett & Platt Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();