A.K.A. Brands Holding (AKA) Cash & Equivalents (2020 - 2026)
A.K.A. Brands Holding (AKA) recorded Cash & Equivalents of $21.05 million in Q2 2026, down 8.9% from $23.11 million a year earlier but up 63.7% from the prior quarter.
A.K.A. Brands Holding (AKA) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding reported Cash & Equivalents of $20.27 million, down 16.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $24.19 million in FY2024 (+10.7%), $21.86 million in FY2023 (-52.8%), $46.32 million in FY2022 (+19.3%) and $38.83 million in FY2021 (+47.9%).
- Quarterly Cash & Equivalents has ranged from $12.86 million in Q1 2026 to $54.45 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 47.9% in Q4 2021, against a decline of 52.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.86 million (Q1 2026), $20.27 million (Q4 2025) and $23.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 7.56 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 170.28 Mn |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | 21.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.05 Mn |
| Mar 31, 2026 | 12.86 Mn |
| Dec 31, 2025 | 20.27 Mn |
| Sep 30, 2025 | 23.43 Mn |
| Jun 30, 2025 | 23.11 Mn |
| Mar 31, 2025 | 26.68 Mn |
| Dec 31, 2024 | 24.19 Mn |
| Sep 30, 2024 | 23.08 Mn |
| Jun 30, 2024 | 25.47 Mn |
| Mar 31, 2024 | 21.94 Mn |
| Dec 31, 2023 | 21.86 Mn |
| Sep 30, 2023 | 20.74 Mn |
| Jun 30, 2023 | 25.88 Mn |
| Mar 31, 2023 | 30.22 Mn |
| Dec 31, 2022 | 46.32 Mn |
| Sep 30, 2022 | 31.11 Mn |
| Jun 30, 2022 | 29.11 Mn |
| Mar 31, 2022 | 41.17 Mn |
| Dec 31, 2021 | 38.83 Mn |
| Sep 30, 2021 | 54.45 Mn |
A.K.A. Brands Holding Cash & Equivalents 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=cash-and-equivalents&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();