A.K.A. Brands Holding (AKA) Goodwill & Intangibles (2020 - 2026)
A.K.A. Brands Holding (AKA) recorded Goodwill & Intangibles of $134.67 million in Q2 2026, down 3.9% from $140.16 million a year earlier and down 1.5% from the prior quarter.
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Analysis
A.K.A. Brands Holding (AKA) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding reported Goodwill & Intangibles of $137.17 million, down 3.2% from FY2024.
- Annual Goodwill & Intangibles has declined for four straight years, though with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Goodwill & Intangibles came in at $141.65 million in FY2024 (-11.0%), $159.22 million in FY2023 (-34.7%), $243.84 million in FY2022 (-47.2%) and $461.59 million in FY2021 (+293.3%).
- The Q2 2026 figure is the lowest quarterly Goodwill & Intangibles since Q4 2020.
- On a year-over-year basis, Goodwill & Intangibles has declined for 16 consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 293.3% in Q4 2021, against a decline of 61.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $136.72 million (Q1 2026), $137.17 million (Q4 2025) and $138.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.67 Mn |
| Mar 31, 2026 | 136.72 Mn |
| Dec 31, 2025 | 137.17 Mn |
| Sep 30, 2025 | 138.81 Mn |
| Jun 30, 2025 | 140.16 Mn |
| Mar 31, 2025 | 139.50 Mn |
| Dec 31, 2024 | 141.65 Mn |
| Sep 30, 2024 | 152.14 Mn |
| Jun 30, 2024 | 152.13 Mn |
| Mar 31, 2024 | 153.14 Mn |
| Dec 31, 2023 | 159.22 Mn |
| Sep 30, 2023 | 157.65 Mn |
| Jun 30, 2023 | 233.78 Mn |
| Mar 31, 2023 | 238.20 Mn |
| Dec 31, 2022 | 243.84 Mn |
| Sep 30, 2022 | 404.97 Mn |
| Jun 30, 2022 | 431.89 Mn |
| Mar 31, 2022 | 469.79 Mn |
| Dec 31, 2021 | 461.59 Mn |
| Sep 30, 2021 | 418.66 Mn |
API Access
A.K.A. Brands Holding Goodwill & 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=goodwill-and-intangibles&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();