La-Z-Boy (LZB) EBITDA (2010 - 2026)
La-Z-Boy's EBITDA was $10.59 million in fiscal Q1 2027 (quarter ended Jul 25, 2026), down 68.2% from $33.32 million a year earlier and down 80.0% from the prior quarter.
La-Z-Boy (LZB) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, La-Z-Boy's EBITDA was $153.92 million through Jul 25, 2026, down 10.1% year-over-year; for FY2026 (ended Apr 25, 2026), it came in at $176.65 million, down 3.2% from FY2025.
- EBITDA has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $182.5 million in FY2025 (-8.4%), $199.35 million in FY2024 (-20.8%), $251.63 million in FY2023 (+2.1%) and $246.53 million in FY2022 (+45.2%).
- The fiscal Q1 2027 figure marks the lowest quarterly EBITDA since fiscal Q1 2012.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with an average decline of 12.8%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2022 (growth of 56.4%); the worst was fiscal Q1 2027 (a decline of 68.2%).
- Per Business Quant data, LZB's EBITDA in the three fiscal quarters before Q1 2027 was $53.05 million (Q4 2026), $42.34 million (Q3 2026) and $47.95 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 219.37 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 264.10 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 158.30 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 361.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 42.60 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 249.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 20.07 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 86.90 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 76.17 Mn |
| 10 | La-Z-Boy | 1.19 Bn | -14.66 Mn | 208.66 Mn | 10.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 10.59 Mn |
| Apr 25, 2026 | 53.05 Mn |
| Jan 24, 2026 | 42.34 Mn |
| Oct 25, 2025 | 47.95 Mn |
| Jul 26, 2025 | 33.32 Mn |
| Apr 26, 2025 | 41.17 Mn |
| Jan 25, 2025 | 46.54 Mn |
| Oct 26, 2024 | 50.27 Mn |
| Jul 27, 2024 | 44.52 Mn |
| Apr 27, 2024 | 62.16 Mn |
| Jan 27, 2024 | 43.96 Mn |
| Oct 28, 2023 | 48.49 Mn |
| Jul 29, 2023 | 44.74 Mn |
| Apr 29, 2023 | 64.91 Mn |
| Jan 28, 2023 | 52.94 Mn |
| Oct 29, 2022 | 71.63 Mn |
| Jul 30, 2022 | 62.16 Mn |
| Apr 30, 2022 | 91.41 Mn |
| Jan 22, 2022 | 48.85 Mn |
| Oct 23, 2021 | 63.35 Mn |
La-Z-Boy EBITDA 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=ebitda&ticker=LZB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LZB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();