La-Z-Boy (LZB) Operating Expenses (2010 - 2026)
La-Z-Boy (LZB) recorded Operating Expenses of $210.77 million in fiscal Q1 2027 (quarter ended Jul 25, 2026), up 12.6% from $187.21 million a year earlier and up 4.6% from the prior quarter.
La-Z-Boy (LZB) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, La-Z-Boy's Operating Expenses came in at $810.99 million as of Jul 25, 2026, up 4.5% year-over-year; for FY2026 (ended Apr 25, 2026), it was $787.43 million, up 2.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $770 million in FY2025 (+5.4%), $730.87 million in FY2024 (-3.0%), $753.29 million in FY2023 (+11.9%) and $673.04 million in FY2022 (+11.5%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has increased for nine consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 24.5% in fiscal Q4 2023, against a decline of 9.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $201.56 million (Q4 2026), $203.7 million (Q3 2026) and $194.96 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | - |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 117.81 Mn |
| 10 | La-Z-Boy | 1.19 Bn | -14.66 Mn | 208.66 Mn | 210.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 210.77 Mn |
| Apr 25, 2026 | 201.56 Mn |
| Jan 24, 2026 | 203.70 Mn |
| Oct 25, 2025 | 194.96 Mn |
| Jul 26, 2025 | 187.21 Mn |
| Apr 26, 2025 | 200.95 Mn |
| Jan 25, 2025 | 196.20 Mn |
| Oct 26, 2024 | 191.88 Mn |
| Jul 27, 2024 | 180.97 Mn |
| Apr 27, 2024 | 189.99 Mn |
| Jan 27, 2024 | 180.69 Mn |
| Oct 28, 2023 | 188.99 Mn |
| Jul 29, 2023 | 171.20 Mn |
| Apr 29, 2023 | 194.57 Mn |
| Jan 28, 2023 | 192.74 Mn |
| Oct 29, 2022 | 187.60 Mn |
| Jul 30, 2022 | 178.39 Mn |
| Apr 30, 2022 | 156.27 Mn |
| Jan 22, 2022 | 179.88 Mn |
| Oct 23, 2021 | 169.18 Mn |
La-Z-Boy Operating 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=operating-expenses&ticker=LZB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LZB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();