Leggett & Platt (LEG) Total Liabilities (2009 - 2026)
Leggett & Platt (LEG) reported Total Liabilities of $2.52 billion for Q2 2026, down 11.5% from $2.85 billion a year earlier but up 1.7% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt posted Total Liabilities of $2.51 billion, down 15.4% from FY2024.
- Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $2.97 billion in FY2024 (-10.0%), $3.3 billion in FY2023 (-6.9%), $3.54 billion in FY2022 (-3.1%) and $3.66 billion in FY2021 (+8.4%).
- Five-year quarterly Total Liabilities spans a low of $2.48 billion in Q1 2026 and a high of $3.67 billion in Q1 2022.
- Year over year, Total Liabilities has now declined in each of the last 16 quarters, with an average decline of 12.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 9.7%); the low point was Q1 2026 (a decline of 17.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.48 billion (Q1 2026), $2.51 billion (Q4 2025) and $2.55 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 2.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Bn |
| Mar 31, 2026 | 2.48 Bn |
| Dec 31, 2025 | 2.51 Bn |
| Sep 30, 2025 | 2.55 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 3.00 Bn |
| Dec 31, 2024 | 2.97 Bn |
| Sep 30, 2024 | 3.04 Bn |
| Jun 30, 2024 | 3.17 Bn |
| Mar 31, 2024 | 3.33 Bn |
| Dec 31, 2023 | 3.30 Bn |
| Sep 30, 2023 | 3.44 Bn |
| Jun 30, 2023 | 3.48 Bn |
| Mar 31, 2023 | 3.60 Bn |
| Dec 31, 2022 | 3.54 Bn |
| Sep 30, 2022 | 3.61 Bn |
| Jun 30, 2022 | 3.62 Bn |
| Mar 31, 2022 | 3.67 Bn |
| Dec 31, 2021 | 3.66 Bn |
| Sep 30, 2021 | 3.66 Bn |
API Access
Leggett & Platt Total Liabilities 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=total-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();