Arhaus (ARHS) EBITDA (2020 - 2026)
Arhaus (ARHS) posted EBITDA of $76.17 million for Q2 2026, up 15.3% from $66.06 million a year earlier and up 229.7% from the prior quarter.
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Analysis
Arhaus (ARHS) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Arhaus was $177.28 million, up 7.2% year-over-year; for FY2025, it came in at $168.17 million, up 8.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- In prior years, Arhaus' EBITDA was $154.46 million in FY2024 (-28.7%), $216.53 million in FY2023 (-2.6%), $222.22 million in FY2022 (+276.6%) and $59.01 million in FY2021 (+14.3%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2020.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 346.8%; the weakest was Q4 2021, with a decline of 58.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $23.1 million (Q1 2026), $41.08 million (Q4 2025) and $36.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 219.37 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 264.10 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 158.30 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 361.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 42.60 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 249.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 20.07 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 159.00 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 76.17 Mn |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn | 53.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.17 Mn |
| Mar 31, 2026 | 23.10 Mn |
| Dec 31, 2025 | 41.08 Mn |
| Sep 30, 2025 | 36.93 Mn |
| Jun 30, 2025 | 66.06 Mn |
| Mar 31, 2025 | 24.10 Mn |
| Dec 31, 2024 | 47.09 Mn |
| Sep 30, 2024 | 28.15 Mn |
| Jun 30, 2024 | 45.71 Mn |
| Mar 31, 2024 | 33.51 Mn |
| Dec 31, 2023 | 55.34 Mn |
| Sep 30, 2023 | 37.52 Mn |
| Jun 30, 2023 | 65.21 Mn |
| Mar 31, 2023 | 58.47 Mn |
| Dec 31, 2022 | 74.90 Mn |
| Sep 30, 2022 | 56.71 Mn |
| Jun 30, 2022 | 59.30 Mn |
| Mar 31, 2022 | 31.30 Mn |
| Dec 31, 2021 | 4.89 Mn |
| Sep 30, 2021 | 24.40 Mn |
API Access
Arhaus EBITDA 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=ebitda&ticker=ARHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();