Leggett & Platt (LEG) Receivables (2009 - 2026)
Leggett & Platt (LEG) posted Receivables of $568.4 million for Q2 2026, down 1.5% from $577.2 million a year earlier but up 9.3% from the prior quarter.
Leggett & Platt (LEG) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt's Receivables came in at $475.9 million, down 14.9% from FY2024.
- Annual Receivables has declined for three consecutive years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Receivables was $559.4 million in FY2024 (-12.2%), $637.3 million in FY2023 (-5.6%), $675 million in FY2022 (+3.5%) and $652.1 million in FY2021 (+10.2%).
- Quarterly Receivables has run from a low of $475.9 million in Q4 2025 to a high of $743.3 million in Q1 2022 over five years.
- On a year-over-year basis, Receivables has declined in each of the last 14 quarters, with an average decline of 10.0% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 18.3%; the weakest was Q4 2025, with a decline of 14.9%.
- According to Business Quant data, Receivables for the three prior quarters was $520.2 million (Q1 2026), $475.9 million (Q4 2025) and $568.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 568.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 568.40 Mn |
| Mar 31, 2026 | 520.20 Mn |
| Dec 31, 2025 | 475.90 Mn |
| Sep 30, 2025 | 568.40 Mn |
| Jun 30, 2025 | 577.20 Mn |
| Mar 31, 2025 | 558.10 Mn |
| Dec 31, 2024 | 559.40 Mn |
| Sep 30, 2024 | 638.10 Mn |
| Jun 30, 2024 | 648.70 Mn |
| Mar 31, 2024 | 635.10 Mn |
| Dec 31, 2023 | 637.30 Mn |
| Sep 30, 2023 | 711.30 Mn |
| Jun 30, 2023 | 702.70 Mn |
| Mar 31, 2023 | 718.20 Mn |
| Dec 31, 2022 | 675.00 Mn |
| Sep 30, 2022 | 731.50 Mn |
| Jun 30, 2022 | 723.90 Mn |
| Mar 31, 2022 | 743.30 Mn |
| Dec 31, 2021 | 652.10 Mn |
| Sep 30, 2021 | 728.00 Mn |
Leggett & Platt Receivables 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=receivables&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();