TheRealReal (REAL) Shares Outstanding (Diluted) (2019 - 2026)
TheRealReal (REAL) reported Weighted Average Shares Outstanding (Diluted) of 128.15 million for Q3 2026, up 9.7% from 116.77 million a year earlier and up 5.9% from the prior quarter.
TheRealReal (REAL) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, TheRealReal posted Weighted Average Shares Outstanding (Diluted) of 116.51 million, up 8.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 107.88 million in FY2024 (+6.0%), 101.81 million in FY2023 (+6.1%), 95.92 million in FY2022 (+4.9%) and 91.41 million in FY2021 (+4.4%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2019.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 24 quarters, with growth averaging 6.9% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 1.3% (Q2 2026) and 14.8% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 121.02 million (Q2 2026), 125.72 million (Q1 2026) and 116.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 204.50 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 60.90 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 135.30 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 390.62 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 399.68 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 47.95 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 186.51 Mn |
| 10 | TheRealReal | 1.83 Bn | 1.30 Bn | 154.40 Mn | 128.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 128.15 Mn |
| Jun 30, 2026 | 121.02 Mn |
| Mar 31, 2026 | 125.72 Mn |
| Dec 31, 2025 | 116.51 Mn |
| Sep 30, 2025 | 116.77 Mn |
| Jun 30, 2025 | 119.48 Mn |
| Mar 31, 2025 | 120.78 Mn |
| Dec 31, 2024 | 107.88 Mn |
| Sep 30, 2024 | 112.42 Mn |
| Jun 30, 2024 | 111.12 Mn |
| Mar 31, 2024 | 105.21 Mn |
| Dec 31, 2023 | 101.81 Mn |
| Sep 30, 2023 | 102.65 Mn |
| Jun 30, 2023 | 100.97 Mn |
| Mar 31, 2023 | 99.61 Mn |
| Dec 31, 2022 | 95.92 Mn |
| Sep 30, 2022 | 96.70 Mn |
| Jun 30, 2022 | 94.90 Mn |
| Mar 31, 2022 | 93.48 Mn |
| Dec 31, 2021 | 91.41 Mn |
TheRealReal 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=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "REAL", "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=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();