A.K.A. Brands Holding (AKA) Common Equity (2020 - 2026)
A.K.A. Brands Holding's Common Equity was $95.57 million in Q2 2026, down 16.3% from $114.14 million a year earlier but up 1.2% from the prior quarter.
A.K.A. Brands Holding (AKA) Common Equity (2020 - 2026) Analysis & Trends
At the end of FY2025, Common Equity at A.K.A. Brands Holding came in at $97.77 million, down 16.9% from FY2024.
- Common Equity has now declined for four consecutive years, with a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In earlier years, Common Equity was $117.63 million in FY2024 (-20.8%), $148.62 million in FY2023 (-39.8%), $247.08 million in FY2022 (-45.2%) and $451.03 million in FY2021 (+224.8%).
- Quarterly Common Equity has moved between $94.42 million (Q1 2026) and $468.32 million (Q1 2022) over five years.
- Compared with a year earlier, Common Equity has declined for 16 straight quarters, with an average decline of 16.8% over the last eight quarters.
- The best year-over-year quarter for Common Equity over five years was Q3 2021 (growth of 227.2%); the worst was Q3 2023 (a decline of 61.4%).
- Per Business Quant data, AKA's Common Equity in the three quarters before Q2 2026 was $94.42 million (Q1 2026), $97.77 million (Q4 2025) and $110.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 14.87 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 692.10 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 2.72 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 2.50 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 4.79 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 2.27 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.31 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.26 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.38 Bn |
| 10 | A.K.A. Brands Holding | 123.01 Mn | 45.40 Mn | 97.84 Mn | 95.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.57 Mn |
| Mar 31, 2026 | 94.42 Mn |
| Dec 31, 2025 | 97.77 Mn |
| Sep 30, 2025 | 110.11 Mn |
| Jun 30, 2025 | 114.14 Mn |
| Mar 31, 2025 | 111.48 Mn |
| Dec 31, 2024 | 117.63 Mn |
| Sep 30, 2024 | 136.93 Mn |
| Jun 30, 2024 | 136.57 Mn |
| Mar 31, 2024 | 135.51 Mn |
| Dec 31, 2023 | 148.62 Mn |
| Sep 30, 2023 | 154.22 Mn |
| Jun 30, 2023 | 230.11 Mn |
| Mar 31, 2023 | 235.49 Mn |
| Dec 31, 2022 | 247.08 Mn |
| Sep 30, 2022 | 399.70 Mn |
| Jun 30, 2022 | 426.54 Mn |
| Mar 31, 2022 | 468.32 Mn |
| Dec 31, 2021 | 451.03 Mn |
| Sep 30, 2021 | 408.91 Mn |
A.K.A. Brands Holding Common Equity 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=common-equity&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();