La-Z-Boy (LZB) Other Accumulated Expenses (2011 - 2026)
La-Z-Boy's Other Accumulated Expenses came in at $245.97 million for fiscal Q1 2027 (quarter ended Jul 25, 2026), up 4.6% from $235.1 million a year earlier and up 2.8% from the prior quarter.
La-Z-Boy (LZB) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 25, 2026), La-Z-Boy's Other Accumulated Expenses was $239.26 million, down 2.0% from FY2025.
- Other Accumulated Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -11.9% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $244.22 million in FY2025 (-7.4%), $263.77 million in FY2024 (-9.2%), $290.65 million in FY2023 (-41.4%) and $496.39 million in FY2022 (+10.3%).
- The five-year range for quarterly Other Accumulated Expenses is $235.1 million (fiscal Q1 2026) to $523.01 million (fiscal Q3 2022).
- Year-over-year, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q2 2022 (growth of 46.9%), and the weakest in fiscal Q4 2023 (a decline of 41.4%).
- Business Quant data shows LZB's Other Accumulated Expenses at $239.26 million (Q4 2026), $281.01 million (Q3 2026) and $237.07 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | La-Z-Boy | 1.20 Bn | -4.25 Mn | 208.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 245.97 Mn |
| Apr 25, 2026 | 239.26 Mn |
| Jan 24, 2026 | 281.01 Mn |
| Oct 25, 2025 | 237.07 Mn |
| Jul 26, 2025 | 235.10 Mn |
| Apr 26, 2025 | 244.22 Mn |
| Jan 25, 2025 | 269.69 Mn |
| Oct 26, 2024 | 248.72 Mn |
| Jul 27, 2024 | 268.53 Mn |
| Apr 27, 2024 | 263.77 Mn |
| Jan 27, 2024 | 275.52 Mn |
| Oct 28, 2023 | 256.33 Mn |
| Jul 29, 2023 | 262.20 Mn |
| Apr 29, 2023 | 290.65 Mn |
| Jan 28, 2023 | 345.36 Mn |
| Oct 29, 2022 | 367.01 Mn |
| Jul 30, 2022 | 437.93 Mn |
| Apr 30, 2022 | 496.39 Mn |
| Jan 22, 2022 | 523.01 Mn |
| Oct 23, 2021 | 492.71 Mn |
La-Z-Boy Other 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=other-accumulated-expenses&ticker=LZB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LZB", "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-accumulated-expenses&ticker=LZB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();