Arhaus (ARHS) Operating Expenses (2020 - 2026)
Arhaus (ARHS) reported Operating Expenses of $117.81 million for Q2 2026, up 16.1% from $101.46 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Arhaus (ARHS) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arhaus' Operating Expenses came in at $465.92 million, up 7.0% year-over-year; for FY2025, it came in at $447.44 million, up 7.7% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $415.43 million in FY2024 (+10.5%), $376.11 million in FY2023 (+10.5%), $340.39 million in FY2022 (+15.0%) and $296.12 million in FY2021 (+75.6%).
- Five-year quarterly Operating Expenses spans a low of $68.27 million in Q3 2021 and a high of $118.91 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 66.6%); the low point was Q4 2022 (a decline of 6.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $112.2 million (Q1 2026), $118.91 million (Q4 2025) and $117.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn | 68.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.81 Mn |
| Mar 31, 2026 | 112.20 Mn |
| Dec 31, 2025 | 118.91 Mn |
| Sep 30, 2025 | 117.01 Mn |
| Jun 30, 2025 | 101.46 Mn |
| Mar 31, 2025 | 110.06 Mn |
| Dec 31, 2024 | 111.34 Mn |
| Sep 30, 2024 | 112.40 Mn |
| Jun 30, 2024 | 94.99 Mn |
| Mar 31, 2024 | 96.69 Mn |
| Dec 31, 2023 | 100.22 Mn |
| Sep 30, 2023 | 106.98 Mn |
| Jun 30, 2023 | 86.13 Mn |
| Mar 31, 2023 | 82.78 Mn |
| Dec 31, 2022 | 93.62 Mn |
| Sep 30, 2022 | 89.15 Mn |
| Jun 30, 2022 | 82.77 Mn |
| Mar 31, 2022 | 74.85 Mn |
| Dec 31, 2021 | 99.67 Mn |
| Sep 30, 2021 | 68.27 Mn |
API Access
Arhaus 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=ARHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARHS", "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=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();