Leggett & Platt (LEG) Cash & Equivalents (2009 - 2026)
Leggett & Platt (LEG) reported Cash & Equivalents of $545.8 million for Q2 2026, up 48.0% from $368.8 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt posted Cash & Equivalents of $587.4 million, up 67.7% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $350.2 million in FY2024 (-4.2%), $365.5 million in FY2023 (+15.5%), $316.5 million in FY2022 (-12.5%) and $361.7 million in FY2021 (+3.7%).
- Five-year quarterly Cash & Equivalents spans a low of $226.2 million in Q3 2022 and a high of $587.4 million in Q4 2025.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 29.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2025 (growth of 67.7%); the low point was Q4 2022 (a decline of 12.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $510.5 million (Q1 2026), $587.4 million (Q4 2025) and $460.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 545.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 545.80 Mn |
| Mar 31, 2026 | 510.50 Mn |
| Dec 31, 2025 | 587.40 Mn |
| Sep 30, 2025 | 460.70 Mn |
| Jun 30, 2025 | 368.80 Mn |
| Mar 31, 2025 | 412.60 Mn |
| Dec 31, 2024 | 350.20 Mn |
| Sep 30, 2024 | 277.20 Mn |
| Jun 30, 2024 | 307.00 Mn |
| Mar 31, 2024 | 361.30 Mn |
| Dec 31, 2023 | 365.50 Mn |
| Sep 30, 2023 | 273.90 Mn |
| Jun 30, 2023 | 272.40 Mn |
| Mar 31, 2023 | 344.50 Mn |
| Dec 31, 2022 | 316.50 Mn |
| Sep 30, 2022 | 226.20 Mn |
| Jun 30, 2022 | 269.90 Mn |
| Mar 31, 2022 | 327.30 Mn |
| Dec 31, 2021 | 361.70 Mn |
| Sep 30, 2021 | 234.70 Mn |
API Access
Leggett & Platt Cash & Equivalents 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=cash-and-equivalents&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();