Leggett & Platt (LEG) Inventory (2009 - 2026)
Leggett & Platt (LEG) recorded Inventory of $638.3 million in Q2 2026, down 1.6% from $648.6 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt reported Inventory of $622.6 million, down 13.8% from FY2024.
- Annual Inventory has declined for four straight years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $722.6 million in FY2024 (-11.8%), $819.7 million in FY2023 (-9.7%), $907.5 million in FY2022 (-8.6%) and $993.2 million in FY2021 (+43.6%).
- Quarterly Inventory has ranged from $622.6 million in Q4 2025 to $1.05 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for 15 consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 65.8% in Q3 2021, against a decline of 16.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $663.3 million (Q1 2026), $622.6 million (Q4 2025) and $634 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 638.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 638.30 Mn |
| Mar 31, 2026 | 663.30 Mn |
| Dec 31, 2025 | 622.60 Mn |
| Sep 30, 2025 | 634.00 Mn |
| Jun 30, 2025 | 648.60 Mn |
| Mar 31, 2025 | 678.30 Mn |
| Dec 31, 2024 | 722.60 Mn |
| Sep 30, 2024 | 754.40 Mn |
| Jun 30, 2024 | 755.40 Mn |
| Mar 31, 2024 | 807.40 Mn |
| Dec 31, 2023 | 819.70 Mn |
| Sep 30, 2023 | 834.90 Mn |
| Jun 30, 2023 | 857.80 Mn |
| Mar 31, 2023 | 892.70 Mn |
| Dec 31, 2022 | 907.50 Mn |
| Sep 30, 2022 | 976.00 Mn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 993.20 Mn |
| Sep 30, 2021 | 970.20 Mn |
API Access
Leggett & Platt Inventory 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=inventory&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();