A.K.A. Brands Holding (AKA) Shares Outstanding (Diluted) (2020 - 2026)
A.K.A. Brands Holding's Shares Outstanding (Diluted) came in at 10.91 million for Q2 2026, up 1.8% from 10.71 million a year earlier and up 0.9% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, A.K.A. Brands Holding's Shares Outstanding (Diluted) was 10.73 million, up 1.5% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 10.57 million in FY2024 (-1.3%), 10.71 million in FY2023 (-0.2%), 10.73 million in FY2022 (+38.1%) and 7.77 million in FY2021 (+33.5%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- Year-over-year, Shares Outstanding (Diluted) has increased for six consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 84.0%), and the weakest in Q2 2024 (a decline of 2.4%).
- Business Quant data shows AKA's Shares Outstanding (Diluted) at 10.81 million (Q1 2026), 10.73 million (Q4 2025) and 10.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | A.K.A. Brands Holding | 119.29 Mn | 41.67 Mn | 97.84 Mn | 10.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.91 Mn |
| Mar 31, 2026 | 10.81 Mn |
| Dec 31, 2025 | 10.73 Mn |
| Sep 30, 2025 | 10.74 Mn |
| Jun 30, 2025 | 10.71 Mn |
| Mar 31, 2025 | 10.69 Mn |
| Dec 31, 2024 | 10.57 Mn |
| Sep 30, 2024 | 10.60 Mn |
| Jun 30, 2024 | 10.50 Mn |
| Mar 31, 2024 | 10.52 Mn |
| Dec 31, 2023 | 10.71 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 10.76 Mn |
| Mar 31, 2023 | 10.75 Mn |
| Dec 31, 2022 | 10.73 Mn |
| Sep 30, 2022 | 10.72 Mn |
| Jun 30, 2022 | 10.72 Mn |
| Mar 31, 2022 | 10.72 Mn |
| Dec 31, 2021 | 7.77 Mn |
| Sep 30, 2021 | 7.36 Mn |
API Access
A.K.A. Brands Holding 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=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AKA", "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=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();