La-Z-Boy (LZB) Long-Term Debt Repayments (2010 - 2026)
La-Z-Boy's Long-Term Debt Repayments was $219,000 in fiscal Q1 2027 (quarter ended Jul 25, 2026), down 2.7% from $225,000 a year earlier but up 1.4% from the prior quarter.
La-Z-Boy (LZB) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, La-Z-Boy's Long-Term Debt Repayments was $912,000 through Jul 25, 2026, up 22.7% year-over-year; for FY2026 (ended Apr 25, 2026), it came in at $918,000, up 38.5% from FY2025.
- Long-Term Debt Repayments has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 95.4% (FY2023 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $663,000 in FY2025 (+35.6%), $489,000 in FY2024 (+297.6%) and $123,000 in FY2023.
- Quarterly Long-Term Debt Repayments has moved between $67,000 (fiscal Q1 2024) and $245,000 (fiscal Q3 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in six of the last eight quarters, with growth averaging 29.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2025 (growth of 116.4%); the worst was fiscal Q1 2027 (a decline of 2.7%).
- Per Business Quant data, LZB's Long-Term Debt Repayments in the three fiscal quarters before Q1 2027 was $216,000 (Q4 2026), $245,000 (Q3 2026) and $232,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 29.32 Bn | 26.99 Bn | 860.34 Mn | 10.13 Mn |
| 2 | Somnigroup International | 13.33 Bn | 12.87 Bn | 817.20 Mn | - |
| 3 | Hni | 3.53 Bn | 3.10 Bn | 647.20 Mn | 199.30 Mn |
| 4 | Newell Brands | 2.17 Bn | 1.33 Bn | 812.00 Mn | - |
| 5 | Whirlpool | 1.93 Bn | -1.70 Bn | 473.00 Mn | 211.00 Mn |
| 6 | Sonos | 1.93 Bn | 829.64 Mn | 189.31 Mn | - |
| 7 | Arhaus | 1.75 Bn | 830.14 Mn | 172.07 Mn | 241,000.00 |
| 8 | Millerknoll | 1.48 Bn | 782.87 Mn | 385.30 Mn | 277.00 Mn |
| 9 | Corsair Gaming | 1.35 Bn | 874.20 Mn | 104.29 Mn | 1.56 Mn |
| 10 | La-Z-Boy | 1.21 Bn | -841,775.59 | 208.66 Mn | 219,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 219,000.00 |
| Apr 25, 2026 | 216,000.00 |
| Jan 24, 2026 | 245,000.00 |
| Oct 25, 2025 | 232,000.00 |
| Jul 26, 2025 | 225,000.00 |
| Apr 26, 2025 | 221,000.00 |
| Jan 25, 2025 | 151,000.00 |
| Oct 26, 2024 | 146,000.00 |
| Jul 27, 2024 | 145,000.00 |
| Apr 27, 2024 | 143,000.00 |
| Jan 27, 2024 | 140,000.00 |
| Oct 28, 2023 | 139,000.00 |
| Jul 29, 2023 | 67,000.00 |
| Apr 29, 2023 | 31,000.00 |
| Jan 28, 2023 | 31,000.00 |
| Oct 29, 2022 | 30,000.00 |
| Jul 30, 2022 | 31,000.00 |
| Apr 30, 2022 | 30,000.00 |
| Jan 22, 2022 | 31,000.00 |
| Oct 23, 2021 | 30,000.00 |
La-Z-Boy Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LZB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LZB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();