Flexsteel Industries (FLXS) Selling, General & Administrative (2010 - 2026)
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Analysis
Flexsteel Industries (FLXS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 148.50 Mn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | - |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 533.60 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 508.00 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 117.81 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 428.00 Mn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | 30.28 Mn |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | 16.70 Mn |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 302.50 Mn |
| 10 | Flexsteel Industries | 295.75 Mn | 180.61 Mn | 25.10 Mn | 18.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.20 Mn |
| 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 | 18.88 Mn |
| Mar 31, 2024 | 17.71 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 | 14.09 Mn |
| Mar 31, 2022 | 16.32 Mn |
| Dec 31, 2021 | 17.54 Mn |
API Access
Flexsteel Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=FLXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FLXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();