Leggett & Platt (LEG) Other Non-Current Liabilities (2009 - 2026)
Leggett & Platt (LEG) posted Other Non-Current Liabilities of $88.2 million for Q2 2026, up 7.6% from $82 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt's Other Non-Current Liabilities came in at $83 million, up 1.0% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Other Non-Current Liabilities was $82.2 million in FY2024 (-22.9%), $106.6 million in FY2023 (-15.5%), $126.1 million in FY2022 (-22.6%) and $162.9 million in FY2021 (-15.2%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with an average decline of 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q2 2026, with growth of 7.6%; the weakest was Q2 2022, with a decline of 28.3%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $80 million (Q1 2026), $83 million (Q4 2025) and $86.1 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 | 88.20 Mn |
| Mar 31, 2026 | 80.00 Mn |
| Dec 31, 2025 | 83.00 Mn |
| Sep 30, 2025 | 86.10 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 77.60 Mn |
| Dec 31, 2024 | 82.20 Mn |
| Sep 30, 2024 | 90.10 Mn |
| Jun 30, 2024 | 90.40 Mn |
| Mar 31, 2024 | 105.20 Mn |
| Dec 31, 2023 | 106.60 Mn |
| Sep 30, 2023 | 108.60 Mn |
| Jun 30, 2023 | 122.30 Mn |
| Mar 31, 2023 | 129.80 Mn |
| Dec 31, 2022 | 126.10 Mn |
| Sep 30, 2022 | 147.20 Mn |
| Jun 30, 2022 | 133.80 Mn |
| Mar 31, 2022 | 146.40 Mn |
| Dec 31, 2021 | 162.90 Mn |
| Sep 30, 2021 | 185.10 Mn |
API Access
Leggett & Platt Other Non-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=other-non-current-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();