A.K.A. Brands Holding (AKA) Return on Capital Employed [ROCE] (2021 - 2026)
A.K.A. Brands Holding (AKA) reported Return on Capital Employed [ROCE] of -5.22% for Q2 2026, down 1.47 percentage points from -3.75% a year earlier but up 0.52 percentage points from the prior quarter.
A.K.A. Brands Holding (AKA) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, A.K.A. Brands Holding posted Return on Capital Employed [ROCE] of -6.31%, down 2.57 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a four-year change of -11.26 percentage points (FY2021 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -3.73% in FY2024 (+20.12 pp), -23.85% in FY2023 (+9.86 pp), -33.71% in FY2022 (-38.66 pp) and 4.96% in FY2021.
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -76.11% in Q3 2023 and a high of 2.96% in Q4 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last three quarters, with an average year-over-year change of +18.12 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2024 (a gain of 71.77 percentage points); the low point was Q3 2023 (a drop of 77.64 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -5.74% (Q1 2026), -6.03% (Q4 2025) and -3.33% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | A.K.A. Brands Holding | 118.96 Mn | 41.35 Mn | 97.84 Mn | -5.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.22% |
| Mar 31, 2026 | -5.74% |
| Dec 31, 2025 | -6.03% |
| Sep 30, 2025 | -3.33% |
| Jun 30, 2025 | -3.75% |
| Mar 31, 2025 | -3.28% |
| Dec 31, 2024 | -3.47% |
| Sep 30, 2024 | -4.34% |
| Jun 30, 2024 | -29.80% |
| Mar 31, 2024 | -30.03% |
| Dec 31, 2023 | -29.36% |
| Sep 30, 2023 | -76.11% |
| Jun 30, 2023 | -46.50% |
| Mar 31, 2023 | -43.65% |
| Dec 31, 2022 | -34.30% |
| Sep 30, 2022 | 1.52% |
| Jun 30, 2022 | 1.19% |
| Mar 31, 2022 | 2.76% |
| Dec 31, 2021 | 2.96% |
A.K.A. Brands Holding Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();