A.K.A. Brands Holding (AKA) Revenue (2020 - 2026)
A.K.A. Brands Holding's Revenue was $160.07 million in Q2 2026, down 0.3% from $160.52 million a year earlier but up 20.8% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, A.K.A. Brands Holding's Revenue was $603.56 million through Jun 30, 2026, up 0.9% year-over-year; for FY2025, it was $600.21 million, up 4.4% from FY2024.
- Revenue shows a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- In earlier years, Revenue was $574.7 million in FY2024 (+5.2%), $546.26 million in FY2023 (-10.7%), $611.74 million in FY2022 (+8.8%) and $562.19 million in FY2021 (+160.4%).
- Quarterly Revenue has moved between $116.84 million (Q1 2024) and $182.42 million (Q4 2021) over five years.
- Compared with a year earlier, Revenue was higher in six of the last eight quarters, with growth averaging 4.4%.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 157.7%); the worst was Q1 2023 (a decline of 18.8%).
- Per Business Quant data, AKA's Revenue in the three quarters before Q2 2026 was $132.46 million (Q1 2026), $163.95 million (Q4 2025) and $147.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.18 Bn |
| 10 | A.K.A. Brands Holding | 123.01 Mn | 45.40 Mn | 97.84 Mn | 160.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.07 Mn |
| Mar 31, 2026 | 132.46 Mn |
| Dec 31, 2025 | 163.95 Mn |
| Sep 30, 2025 | 147.08 Mn |
| Jun 30, 2025 | 160.52 Mn |
| Mar 31, 2025 | 128.66 Mn |
| Dec 31, 2024 | 159.02 Mn |
| Sep 30, 2024 | 149.90 Mn |
| Jun 30, 2024 | 148.93 Mn |
| Mar 31, 2024 | 116.84 Mn |
| Dec 31, 2023 | 148.91 Mn |
| Sep 30, 2023 | 140.83 Mn |
| Jun 30, 2023 | 136.03 Mn |
| Mar 31, 2023 | 120.49 Mn |
| Dec 31, 2022 | 149.13 Mn |
| Sep 30, 2022 | 155.82 Mn |
| Jun 30, 2022 | 158.47 Mn |
| Mar 31, 2022 | 148.32 Mn |
| Dec 31, 2021 | 182.42 Mn |
| Sep 30, 2021 | 161.76 Mn |
API Access
A.K.A. Brands Holding Revenue 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=revenue&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();