Arhaus (ARHS) Shares Outstanding (Diluted) (2020 - 2026)
Arhaus (ARHS) recorded Shares Outstanding (Diluted) of 141.81 million in Q2 2026, up 0.5% from 141.16 million a year earlier and unchanged from the prior quarter.
Arhaus (ARHS) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Arhaus reported Shares Outstanding (Diluted) of 141.41 million, up 0.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 140.69 million in FY2024 (+0.4%), 140.1 million in FY2023 (+0.4%), 139.61 million in FY2022 (+16.8%) and 119.52 million in FY2021 (+6.7%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 19 consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.0% in Q3 2021 to 24.8% in Q3 2022.
- Per Business Quant, the preceding three quarters came in at 141.74 million (Q1 2026), 141.41 million (Q4 2025) and 141.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 141.51 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 212.50 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 72.10 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 430.20 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 120.98 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 65.20 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 109.19 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 70.04 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 141.81 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 211.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.81 Mn |
| Mar 31, 2026 | 141.74 Mn |
| Dec 31, 2025 | 141.41 Mn |
| Sep 30, 2025 | 141.68 Mn |
| Jun 30, 2025 | 141.16 Mn |
| Mar 31, 2025 | 141.09 Mn |
| Dec 31, 2024 | 140.69 Mn |
| Sep 30, 2024 | 140.72 Mn |
| Jun 30, 2024 | 140.92 Mn |
| Mar 31, 2024 | 140.56 Mn |
| Dec 31, 2023 | 140.10 Mn |
| Sep 30, 2023 | 140.14 Mn |
| Jun 30, 2023 | 139.98 Mn |
| Mar 31, 2023 | 139.94 Mn |
| Dec 31, 2022 | 139.61 Mn |
| Sep 30, 2022 | 139.85 Mn |
| Jun 30, 2022 | 139.45 Mn |
| Mar 31, 2022 | 138.71 Mn |
| Dec 31, 2021 | 119.52 Mn |
| Sep 30, 2021 | 112.06 Mn |
Arhaus Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ARHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();