A.K.A. Brands Holding (AKA) Inventory (2020 - 2026)
A.K.A. Brands Holding (AKA) posted Inventory of $79.91 million for Q2 2026, down 13.6% from $92.46 million a year earlier but up 18.0% from the prior quarter.
Powered by 
Analysis
A.K.A. Brands Holding (AKA) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding's Inventory came in at $86.18 million, down 10.0% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In prior years, A.K.A. Brands Holding's Inventory was $95.75 million in FY2024 (+5.2%), $91.02 million in FY2023 (-28.1%), $126.53 million in FY2022 (+9.3%) and $115.78 million in FY2021 (+249.5%).
- Quarterly Inventory has run from a low of $67.69 million in Q1 2026 to a high of $143.85 million in Q2 2022 over five years.
- On a year-over-year basis, Inventory has declined in each of the last five quarters, with an average decline of 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 249.5%; the weakest was Q1 2026, with a decline of 28.3%.
- According to Business Quant data, Inventory for the three prior quarters was $67.69 million (Q1 2026), $86.18 million (Q4 2025) and $96.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | A.K.A. Brands Holding | 123.01 Mn | 45.40 Mn | 97.84 Mn | 79.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.91 Mn |
| Mar 31, 2026 | 67.69 Mn |
| Dec 31, 2025 | 86.18 Mn |
| Sep 30, 2025 | 96.71 Mn |
| Jun 30, 2025 | 92.46 Mn |
| Mar 31, 2025 | 94.40 Mn |
| Dec 31, 2024 | 95.75 Mn |
| Sep 30, 2024 | 106.03 Mn |
| Jun 30, 2024 | 106.69 Mn |
| Mar 31, 2024 | 91.49 Mn |
| Dec 31, 2023 | 91.02 Mn |
| Sep 30, 2023 | 99.95 Mn |
| Jun 30, 2023 | 106.70 Mn |
| Mar 31, 2023 | 112.50 Mn |
| Dec 31, 2022 | 126.53 Mn |
| Sep 30, 2022 | 136.93 Mn |
| Jun 30, 2022 | 143.85 Mn |
| Mar 31, 2022 | 120.60 Mn |
| Dec 31, 2021 | 115.78 Mn |
| Sep 30, 2021 | 95.77 Mn |
API Access
A.K.A. Brands Holding Inventory 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=inventory&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();