A.K.A. Brands Holding (AKA) Non-Current Assets (2020 - 2026)
A.K.A. Brands Holding (AKA) reported Non-Current Assets of $280.9 million for Q2 2026, up 9.9% from $255.65 million a year earlier and up 3.2% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding posted Non-Current Assets of $267.91 million, up 11.4% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $240.44 million in FY2024 (+6.4%), $226.03 million in FY2023 (-27.6%), $312.03 million in FY2022 (-38.0%) and $503.51 million in FY2021 (+306.2%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets since Q2 2023.
- Year over year, Non-Current Assets has now increased in each of the last eight quarters, with growth averaging 9.6% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 306.2%); the low point was Q3 2023 (a decline of 52.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $272.31 million (Q1 2026), $267.91 million (Q4 2025) and $266.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.81 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 3.66 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 5.52 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 4.39 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 3.27 Bn |
| 10 | A.K.A. Brands Holding | 123.01 Mn | 45.40 Mn | 97.84 Mn | 280.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.90 Mn |
| Mar 31, 2026 | 272.31 Mn |
| Dec 31, 2025 | 267.91 Mn |
| Sep 30, 2025 | 266.35 Mn |
| Jun 30, 2025 | 255.65 Mn |
| Mar 31, 2025 | 247.73 Mn |
| Dec 31, 2024 | 240.44 Mn |
| Sep 30, 2024 | 247.82 Mn |
| Jun 30, 2024 | 233.74 Mn |
| Mar 31, 2024 | 222.14 Mn |
| Dec 31, 2023 | 226.03 Mn |
| Sep 30, 2023 | 224.24 Mn |
| Jun 30, 2023 | 303.18 Mn |
| Mar 31, 2023 | 306.74 Mn |
| Dec 31, 2022 | 312.03 Mn |
| Sep 30, 2022 | 469.84 Mn |
| Jun 30, 2022 | 490.27 Mn |
| Mar 31, 2022 | 530.62 Mn |
| Dec 31, 2021 | 503.51 Mn |
| Sep 30, 2021 | 458.60 Mn |
API Access
A.K.A. Brands Holding 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=non-current-assets&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();