A.K.A. Brands Holding (AKA) Other Non-Current Assets (2021 - 2026)
A.K.A. Brands Holding's Other Non-Current Assets came in at $2.89 million for Q2 2026, up 30.4% from $2.22 million a year earlier and up 3.4% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Other Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding's Other Non-Current Assets was $2.8 million, up 31.0% from FY2024.
- Other Non-Current Assets carries a four-year compound annual growth rate of 34.7% (FY2021 to FY2025).
- Going back by year, Other Non-Current Assets was $2.14 million in FY2024 (+245.6%), $618,000 in FY2023 (-27.5%), $853,000 in FY2022 (+0.4%) and $850,000 in FY2021.
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to Q3 2021.
- Year-over-year, Other Non-Current Assets has increased for four consecutive quarters, with growth averaging 75.5% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q3 2024 (growth of 269.7%), and the weakest in Q4 2023 (a decline of 27.5%).
- Business Quant data shows AKA's Other Non-Current Assets at $2.8 million (Q1 2026), $2.8 million (Q4 2025) and $2.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 146.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 66.33 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 332.64 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 544.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 98.97 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 14.42 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 50.80 Mn |
| 10 | A.K.A. Brands Holding | 119.29 Mn | 41.67 Mn | 97.84 Mn | 2.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2025 | 2.48 Mn |
| Jun 30, 2025 | 2.22 Mn |
| Mar 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 2.43 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 2.23 Mn |
| Dec 31, 2023 | 618,000.00 |
| Sep 30, 2023 | 657,000.00 |
| Jun 30, 2023 | 705,000.00 |
| Mar 31, 2023 | 804,000.00 |
| Dec 31, 2022 | 853,000.00 |
| Sep 30, 2022 | 889,000.00 |
| Jun 30, 2022 | 945,000.00 |
| Mar 31, 2022 | 1.01 Mn |
| Dec 31, 2021 | 850,000.00 |
| Sep 30, 2021 | 895,000.00 |
API Access
A.K.A. Brands Holding Other Non-Current Assets 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=other-non-current-assets&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();