Flexsteel Industries (FLXS) Depreciation and Depletion (2010 - 2026)
Flexsteel Industries' Depreciation and Depletion came in at $1.07 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.5% from $877,000 a year earlier and up 2.0% from the prior quarter.
Flexsteel Industries (FLXS) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Flexsteel Industries' Depreciation and Depletion was $3.83 million, up 4.7% from FY2025.
- Depreciation and Depletion carries a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $3.65 million in FY2025 (-8.6%), $4 million in FY2024 (-12.6%), $4.57 million in FY2023 (-11.6%) and $5.17 million in FY2022 (-0.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Depreciation and Depletion since fiscal Q4 2023.
- Year-over-year, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q4 2026 (growth of 22.5%), and the weakest in fiscal Q4 2025 (a decline of 17.0%).
- Business Quant data shows FLXS's Depreciation and Depletion at $1.05 million (Q3 2026), $864,000 (Q2 2026) and $836,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 47.00 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 | 3.65 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | - |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | - |
| 10 | Flexsteel Industries | 364.78 Mn | 215.47 Mn | 34.62 Mn | 1.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Mn |
| Mar 31, 2026 | 1.05 Mn |
| Dec 31, 2025 | 864,000.00 |
| Sep 30, 2025 | 836,000.00 |
| Jun 30, 2025 | 877,000.00 |
| Mar 31, 2025 | 924,000.00 |
| Dec 31, 2024 | 924,000.00 |
| Sep 30, 2024 | 929,000.00 |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 959,000.00 |
| Sep 30, 2023 | 940,000.00 |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Mar 31, 2022 | 1.32 Mn |
| Dec 31, 2021 | 1.34 Mn |
| Sep 30, 2021 | 1.33 Mn |
Flexsteel Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=FLXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FLXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=FLXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();