Flexsteel Industries (FLXS) Operating Expenses (2010 - 2026)
Flexsteel Industries' Operating Expenses came in at $18.28 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.5% from $17.16 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Flexsteel Industries (FLXS) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Flexsteel Industries' Operating Expenses was $70.89 million, up 6.3% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $66.7 million in FY2025 (-9.2%), $73.43 million in FY2024 (+16.8%), $62.85 million in FY2023 (-6.8%) and $67.46 million in FY2022 (-5.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q4 2024.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2024 (growth of 22.9%), and the weakest in fiscal Q4 2022 (a decline of 26.9%).
- Business Quant data shows FLXS's Operating Expenses at $17.82 million (Q3 2026), $17.83 million (Q2 2026) and $16.96 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
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 | Flexsteel Industries | 347.66 Mn | 198.34 Mn | 34.62 Mn | 18.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.28 Mn |
| Mar 31, 2026 | 17.82 Mn |
| Dec 31, 2025 | 17.83 Mn |
| Sep 30, 2025 | 16.96 Mn |
| Jun 30, 2025 | 17.16 Mn |
| Mar 31, 2025 | 17.07 Mn |
| Dec 31, 2024 | 16.14 Mn |
| Sep 30, 2024 | 16.32 Mn |
| Jun 30, 2024 | 19.28 Mn |
| Mar 31, 2024 | 20.31 Mn |
| Dec 31, 2023 | 17.37 Mn |
| Sep 30, 2023 | 16.49 Mn |
| Jun 30, 2023 | 16.88 Mn |
| Mar 31, 2023 | 16.53 Mn |
| Dec 31, 2022 | 14.86 Mn |
| Sep 30, 2022 | 14.57 Mn |
| Jun 30, 2022 | 14.11 Mn |
| Mar 31, 2022 | 16.26 Mn |
| Dec 31, 2021 | 18.16 Mn |
| Sep 30, 2021 | 18.94 Mn |
API Access
Flexsteel Industries 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=FLXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();