Leggett & Platt (LEG) Depreciation and Depletion (2009 - 2026)
Leggett & Platt (LEG) recorded Depreciation and Depletion of $25.1 million in Q2 2026, down 2.7% from $25.8 million a year earlier but up 3.7% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Leggett & Platt's Depreciation and Depletion came in at $102 million as of Jun 30, 2026, down 6.0% year-over-year; for FY2025, it came in at $104.7 million, down 6.9% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $112.4 million in FY2024 (+3.2%), $108.9 million in FY2023 (-1.2%), $110.2 million in FY2022 (-5.4%) and $116.5 million in FY2021 (-2.4%).
- Quarterly Depreciation and Depletion has ranged from $24.2 million in Q1 2026 to $29.1 million in Q4 2021 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for six consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 4.5% in Q2 2024, against a decline of 9.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.2 million (Q1 2026), $27.5 million (Q4 2025) and $25.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 25.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.10 Mn |
| Mar 31, 2026 | 24.20 Mn |
| Dec 31, 2025 | 27.50 Mn |
| Sep 30, 2025 | 25.20 Mn |
| Jun 30, 2025 | 25.80 Mn |
| Mar 31, 2025 | 26.20 Mn |
| Dec 31, 2024 | 28.60 Mn |
| Sep 30, 2024 | 27.90 Mn |
| Jun 30, 2024 | 28.00 Mn |
| Mar 31, 2024 | 27.90 Mn |
| Dec 31, 2023 | 27.70 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 26.80 Mn |
| Mar 31, 2023 | 27.40 Mn |
| Dec 31, 2022 | 27.30 Mn |
| Sep 30, 2022 | 26.90 Mn |
| Jun 30, 2022 | 27.80 Mn |
| Mar 31, 2022 | 28.20 Mn |
| Dec 31, 2021 | 29.10 Mn |
| Sep 30, 2021 | 29.00 Mn |
API Access
Leggett & Platt Depreciation and Depletion 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=depreciation-and-depletion&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();