A.K.A. Brands Holding (AKA) Return on Sales [ROS] (2020 - 2026)
A.K.A. Brands Holding (AKA) posted Return on Sales [ROS] of 0.73% for Q2 2026, up 1.03 percentage points from -0.31% a year earlier and up 3.83 percentage points from the prior quarter.
A.K.A. Brands Holding (AKA) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at A.K.A. Brands Holding was -2.50%, down 0.71 percentage points year-over-year; for FY2025, it came in at -3.01%, down 1.21 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -13.26 percentage points (FY2020 to FY2025).
- In prior years, A.K.A. Brands Holding's Return on Sales [ROS] was -1.80% in FY2024 (+13.47 pp), -15.27% in FY2023 (+12.85 pp), -28.12% in FY2022 (-31.04 pp) and 2.91% in FY2021 (-7.34 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +6.06 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 114.11 percentage points; the weakest was Q4 2022, with a drop of 120.60 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -3.10% (Q1 2026), -6.56% (Q4 2025) and -0.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | 0.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.73% |
| Mar 31, 2026 | -3.10% |
| Dec 31, 2025 | -6.56% |
| Sep 30, 2025 | -0.97% |
| Jun 30, 2025 | -0.31% |
| Mar 31, 2025 | -4.18% |
| Dec 31, 2024 | -1.76% |
| Sep 30, 2024 | -1.38% |
| Jun 30, 2024 | 0.43% |
| Mar 31, 2024 | -5.21% |
| Dec 31, 2023 | -3.62% |
| Sep 30, 2023 | -49.95% |
| Jun 30, 2023 | -0.82% |
| Mar 31, 2023 | -5.44% |
| Dec 31, 2022 | -117.72% |
| Sep 30, 2022 | 1.76% |
| Jun 30, 2022 | -1.62% |
| Mar 31, 2022 | 2.26% |
| Dec 31, 2021 | 2.88% |
| Sep 30, 2021 | 0.72% |
A.K.A. Brands Holding Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();