Flexsteel Industries (FLXS) Depreciation and Depletion (2010 - 2026)
Flexsteel Industries' Depreciation and Depletion came in at $1.1 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 31.2% from $836,000 a year earlier and up 2.1% from the prior quarter.
Flexsteel Industries (FLXS) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Flexsteel Industries reported Depreciation and Depletion of $4.09 million, up 14.8% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $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 Q1 2027 figure represents the highest quarterly Depreciation and Depletion since fiscal Q3 2023.
- Year-over-year, Depreciation and Depletion has increased for three consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2027 (growth of 31.2%), and the weakest in fiscal Q4 2025 (a decline of 17.0%).
- Business Quant data shows FLXS's Depreciation and Depletion at $1.07 million (Q4 2026), $1.05 million (Q3 2026) and $864,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | - |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | - |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 45.00 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | - |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | - |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | - |
| 10 | Flexsteel Industries | 295.75 Mn | 180.61 Mn | 25.10 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.10 Mn |
| 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 |
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_KEYimport 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();