Leggett & Platt (LEG) Accumulated Expenses (2009 - 2026)
Leggett & Platt (LEG) recorded Accumulated Expenses of $210.7 million in Q2 2026, up 4.7% from $201.3 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Leggett & Platt (LEG) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Leggett & Platt reported Accumulated Expenses of $227.3 million, down 6.2% from FY2024.
- Annual Accumulated Expenses has declined for four straight years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $242.2 million in FY2024 (-5.7%), $256.8 million in FY2023 (-1.9%), $261.7 million in FY2022 (-8.0%) and $284.6 million in FY2021 (+3.4%).
- Quarterly Accumulated Expenses has ranged from $196.8 million in Q1 2026 to $295.4 million in Q3 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last eight quarters, with an average decline of 7.7%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 7.9% in Q3 2021, against a decline of 16.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $196.8 million (Q1 2026), $227.3 million (Q4 2025) and $228.8 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 | 210.70 Mn |
| Mar 31, 2026 | 196.80 Mn |
| Dec 31, 2025 | 227.30 Mn |
| Sep 30, 2025 | 228.80 Mn |
| Jun 30, 2025 | 201.30 Mn |
| Mar 31, 2025 | 202.60 Mn |
| Dec 31, 2024 | 242.20 Mn |
| Sep 30, 2024 | 249.30 Mn |
| Jun 30, 2024 | 239.70 Mn |
| Mar 31, 2024 | 229.70 Mn |
| Dec 31, 2023 | 256.80 Mn |
| Sep 30, 2023 | 295.40 Mn |
| Jun 30, 2023 | 266.00 Mn |
| Mar 31, 2023 | 237.80 Mn |
| Dec 31, 2022 | 261.70 Mn |
| Sep 30, 2022 | 277.60 Mn |
| Jun 30, 2022 | 278.30 Mn |
| Mar 31, 2022 | 279.30 Mn |
| Dec 31, 2021 | 284.60 Mn |
| Sep 30, 2021 | 292.00 Mn |
API Access
Leggett & Platt Accumulated 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=accumulated-expenses&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();