Leggett & Platt (LEG) Non Operating Interest Expenses (2009 - 2026)
Leggett & Platt's Non Operating Interest Expenses was $14.7 million in Q2 2026, down 28.3% from $20.5 million a year earlier but up 1.4% from the prior quarter.
Leggett & Platt (LEG) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Leggett & Platt's Non Operating Interest Expenses was $62.8 million through Jun 30, 2026, down 22.7% year-over-year; for FY2025, it was $72.9 million, down 15.1% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $85.9 million in FY2024 (-2.8%), $88.4 million in FY2023 (+3.4%), $85.5 million in FY2022 (+11.8%) and $76.5 million in FY2021 (-7.5%).
- Quarterly Non Operating Interest Expenses has moved between $14.5 million (Q1 2026) and $23.2 million (Q4 2022) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for 11 straight quarters, with an average decline of 14.8% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2022 (growth of 24.1%); the worst was Q2 2026 (a decline of 28.3%).
- Per Business Quant data, LEG's Non Operating Interest Expenses in the three quarters before Q2 2026 was $14.5 million (Q1 2026), $15.1 million (Q4 2025) and $18.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 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 | 79.00 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 14.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.70 Mn |
| Mar 31, 2026 | 14.50 Mn |
| Dec 31, 2025 | 15.10 Mn |
| Sep 30, 2025 | 18.50 Mn |
| Jun 30, 2025 | 20.50 Mn |
| Mar 31, 2025 | 18.80 Mn |
| Dec 31, 2024 | 20.90 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 22.40 Mn |
| Mar 31, 2024 | 21.60 Mn |
| Dec 31, 2023 | 21.20 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 23.10 Mn |
| Mar 31, 2023 | 22.10 Mn |
| Dec 31, 2022 | 23.20 Mn |
| Sep 30, 2022 | 20.50 Mn |
| Jun 30, 2022 | 21.10 Mn |
| Mar 31, 2022 | 20.70 Mn |
| Dec 31, 2021 | 18.70 Mn |
| Sep 30, 2021 | 19.00 Mn |
Leggett & Platt Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();