A.K.A. Brands Holding (AKA) Amortizatization of Intangibles (2020 - 2026)
A.K.A. Brands Holding (AKA) recorded Amortizatization of Intangibles of $2.34 million in Q2 2026, up 2.6% from $2.28 million a year earlier and up 0.5% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a TTM basis, A.K.A. Brands Holding's Amortizatization of Intangibles came in at $9.3 million as of Jun 30, 2026, down 9.9% year-over-year; for FY2025, it came in at $9.43 million, down 14.7% from FY2024.
- Annual Amortizatization of Intangibles has declined for three straight years, though with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $11.05 million in FY2024 (-4.2%), $11.54 million in FY2023 (-18.7%), $14.19 million in FY2022 (+1.3%) and $14.02 million in FY2021 (+118.7%).
- The Q2 2026 figure is the highest quarterly Amortizatization of Intangibles since Q1 2025.
- On a year-over-year basis, Amortizatization of Intangibles rose in 1 of the last eight quarters, with an average decline of 8.3%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 129.6% in Q4 2021, against a decline of 33.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.33 million (Q1 2026), $2.3 million (Q4 2025) and $2.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 13.40 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | - |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | 2.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.33 Mn |
| Jun 30, 2025 | 2.28 Mn |
| Mar 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 2.78 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | 2.76 Mn |
| Dec 31, 2023 | 2.75 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 2.94 Mn |
| Mar 31, 2023 | 2.99 Mn |
| Dec 31, 2022 | 2.94 Mn |
| Sep 30, 2022 | 3.17 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 4.05 Mn |
| Dec 31, 2021 | 4.39 Mn |
| Sep 30, 2021 | 3.40 Mn |
API Access
A.K.A. Brands Holding Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();