A.K.A. Brands Holding (AKA) Cost of Revenue (2020 - 2026)
A.K.A. Brands Holding (AKA) reported Cost of Revenue of $62.22 million for Q2 2026, down 8.7% from $68.18 million a year earlier but up 27.4% from the prior quarter.
A.K.A. Brands Holding (AKA) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, A.K.A. Brands Holding's Cost of Revenue came in at $244.03 million, down 4.8% year-over-year; for FY2025, it was $256.15 million, up 3.6% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $247.19 million in FY2024 (+0.5%), $245.98 million in FY2023 (-10.4%), $274.49 million in FY2022 (+7.8%) and $254.53 million in FY2021 (+184.3%).
- Five-year quarterly Cost of Revenue spans a low of $48.84 million in Q1 2026 and a high of $82.89 million in Q4 2021.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with an average decline of 1.0%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2021 (growth of 204.7%); the low point was Q1 2023 (a decline of 18.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.84 million (Q1 2026), $72.87 million (Q4 2025) and $60.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | 62.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.22 Mn |
| Mar 31, 2026 | 48.84 Mn |
| Dec 31, 2025 | 72.87 Mn |
| Sep 30, 2025 | 60.09 Mn |
| Jun 30, 2025 | 68.18 Mn |
| Mar 31, 2025 | 55.00 Mn |
| Dec 31, 2024 | 70.08 Mn |
| Sep 30, 2024 | 62.98 Mn |
| Jun 30, 2024 | 62.96 Mn |
| Mar 31, 2024 | 51.17 Mn |
| Dec 31, 2023 | 72.46 Mn |
| Sep 30, 2023 | 62.87 Mn |
| Jun 30, 2023 | 58.67 Mn |
| Mar 31, 2023 | 51.99 Mn |
| Dec 31, 2022 | 70.38 Mn |
| Sep 30, 2022 | 68.97 Mn |
| Jun 30, 2022 | 71.02 Mn |
| Mar 31, 2022 | 64.12 Mn |
| Dec 31, 2021 | 82.89 Mn |
| Sep 30, 2021 | 75.65 Mn |
A.K.A. Brands Holding Cost of Revenue 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=cost-of-revenue&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();