Figs (FIGS) Shares Outstanding (Diluted) (2020 - 2026)
Figs (FIGS) posted Shares Outstanding (Diluted) of 195.14 million for Q2 2026, up 12.8% from 172.93 million a year earlier but down 0.5% from the prior quarter.
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Figs (FIGS) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Figs' Shares Outstanding (Diluted) came in at 179.49 million, down 0.3% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for three consecutive years, though with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Figs' Shares Outstanding (Diluted) was 180.1 million in FY2024 (-1.3%), 182.41 million in FY2023 (-2.7%), 187.55 million in FY2022 (+17.8%) and 159.18 million in FY2021 (-2.5%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 159.18 million in Q4 2021 to a high of 199.39 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in three of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 20.9%; the weakest was Q1 2025, with a decline of 10.1%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 196.09 million (Q1 2026), 179.49 million (Q4 2025) and 180.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 22.92 Bn | 15.02 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 12.34 Bn | 5.21 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 11.01 Bn | 5.27 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 390.62 Mn |
| 7 | V F | 6.74 Bn | 3.36 Bn | 917.04 Mn | 392.11 Mn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | 160.20 Mn |
| 9 | Birkenstock Holding | 6.06 Bn | 4.38 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Figs | 3.45 Bn | 2.33 Bn | 147.86 Mn | 195.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.14 Mn |
| Mar 31, 2026 | 196.09 Mn |
| Dec 31, 2025 | 179.49 Mn |
| Sep 30, 2025 | 180.88 Mn |
| Jun 30, 2025 | 172.93 Mn |
| Mar 31, 2025 | 162.47 Mn |
| Dec 31, 2024 | 180.10 Mn |
| Sep 30, 2024 | 170.17 Mn |
| Jun 30, 2024 | 179.69 Mn |
| Mar 31, 2024 | 180.70 Mn |
| Dec 31, 2023 | 182.41 Mn |
| Sep 30, 2023 | 181.43 Mn |
| Jun 30, 2023 | 183.33 Mn |
| Mar 31, 2023 | 182.85 Mn |
| Dec 31, 2022 | 187.55 Mn |
| Sep 30, 2022 | 186.99 Mn |
| Jun 30, 2022 | 188.90 Mn |
| Mar 31, 2022 | 193.38 Mn |
| Dec 31, 2021 | 159.18 Mn |
| Sep 30, 2021 | 199.39 Mn |
API Access
Figs 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=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FIGS", "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=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();