Leggett & Platt (LEG) Total Current Liabilities (2009 - 2026)
Leggett & Platt's Total Current Liabilities came in at $779.3 million for Q2 2026, down 2.9% from $802.3 million a year earlier but up 4.1% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt's Total Current Liabilities was $775 million, down 8.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $846.4 million in FY2024 (-33.0%), $1.26 billion in FY2023 (+30.4%), $968.1 million in FY2022 (-27.5%) and $1.34 billion in FY2021 (+32.8%).
- The five-year range for quarterly Total Current Liabilities is $748.7 million (Q1 2026) to $1.35 billion (Q1 2022).
- Year-over-year, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 16.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 41.2%), and the weakest in Q4 2024 (a decline of 33.0%).
- Business Quant data shows LEG's Total Current Liabilities at $748.7 million (Q1 2026), $775 million (Q4 2025) and $794.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 779.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 779.30 Mn |
| Mar 31, 2026 | 748.70 Mn |
| Dec 31, 2025 | 775.00 Mn |
| Sep 30, 2025 | 794.10 Mn |
| Jun 30, 2025 | 802.30 Mn |
| Mar 31, 2025 | 810.40 Mn |
| Dec 31, 2024 | 846.40 Mn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 955.60 Mn |
| Mar 31, 2023 | 968.60 Mn |
| Dec 31, 2022 | 968.10 Mn |
| Sep 30, 2022 | 965.00 Mn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.35 Bn |
| Dec 31, 2021 | 1.34 Bn |
| Sep 30, 2021 | 1.34 Bn |
API Access
Leggett & Platt Total Current 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-current-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();