Leggett & Platt (LEG) Operating Leases (2019 - 2026)
Leggett & Platt (LEG) posted Operating Leases of $100.3 million for Q2 2026, down 9.8% from $111.2 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt's Operating Leases came in at $106.7 million, down 18.6% from FY2024.
- Annual Operating Leases has declined for three consecutive years, with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Operating Leases was $131.1 million in FY2024 (-12.9%), $150.5 million in FY2023 (-2.0%), $153.6 million in FY2022 (+0.4%) and $153 million in FY2021 (+25.3%).
- Quarterly Operating Leases has run from a low of $99.7 million in Q1 2026 to a high of $175.9 million in Q1 2023 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last 11 quarters, with an average decline of 16.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2022, with growth of 30.0%; the weakest was Q2 2025, with a decline of 25.2%.
- According to Business Quant data, Operating Leases for the three prior quarters was $99.7 million (Q1 2026), $106.7 million (Q4 2025) and $120 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.30 Mn |
| Mar 31, 2026 | 99.70 Mn |
| Dec 31, 2025 | 106.70 Mn |
| Sep 30, 2025 | 120.00 Mn |
| Jun 30, 2025 | 111.20 Mn |
| Mar 31, 2025 | 119.30 Mn |
| Dec 31, 2024 | 131.10 Mn |
| Sep 30, 2024 | 143.30 Mn |
| Jun 30, 2024 | 148.70 Mn |
| Mar 31, 2024 | 158.50 Mn |
| Dec 31, 2023 | 150.50 Mn |
| Sep 30, 2023 | 156.50 Mn |
| Jun 30, 2023 | 167.20 Mn |
| Mar 31, 2023 | 175.90 Mn |
| Dec 31, 2022 | 153.60 Mn |
| Sep 30, 2022 | 151.10 Mn |
| Jun 30, 2022 | 149.50 Mn |
| Mar 31, 2022 | 150.00 Mn |
| Dec 31, 2021 | 153.00 Mn |
| Sep 30, 2021 | 149.10 Mn |
API Access
Leggett & Platt Operating Leases 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=operating-leases&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();