A.K.A. Brands Holding (AKA) Cash from Operations (2020 - 2026)
A.K.A. Brands Holding (AKA) posted Cash from Operations of $22.55 million for Q2 2026, up 89.7% from $11.89 million a year earlier.
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Analysis
A.K.A. Brands Holding (AKA) Cash from Operations (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at A.K.A. Brands Holding was $25.15 million, up 69.0% year-over-year; for FY2025, it was $16.44 million.
- Annual Cash from Operations shows a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- In prior years, A.K.A. Brands Holding's Cash from Operations was $669,000 in FY2024 (-98.0%), $33.43 million in FY2023, -$319,000 in FY2022 and $23.97 million in FY2021 (+10.4%).
- The Q2 2026 figure stands as the highest quarterly Cash from Operations in data going back to Q4 2020.
- On a year-over-year basis, Cash from Operations increased in two of the last four quarters, with growth averaging 50.0%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2025, with growth of 240.7%; the weakest was Q4 2025, with a decline of 75.9%.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$3.83 million (Q1 2026), $1.69 million (Q4 2025) and $4.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | A.K.A. Brands Holding | 119.29 Mn | 41.67 Mn | 97.84 Mn | 22.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.55 Mn |
| Mar 31, 2026 | -3.83 Mn |
| Dec 31, 2025 | 1.69 Mn |
| Sep 30, 2025 | 4.74 Mn |
| Jun 30, 2025 | 11.89 Mn |
| Mar 31, 2025 | -1.88 Mn |
| Dec 31, 2024 | 7.01 Mn |
| Sep 30, 2024 | -2.14 Mn |
| Jun 30, 2024 | 3.49 Mn |
| Mar 31, 2024 | -7.69 Mn |
| Dec 31, 2023 | 15.38 Mn |
| Sep 30, 2023 | 10.75 Mn |
| Jun 30, 2023 | 10.25 Mn |
| Mar 31, 2023 | -2.96 Mn |
| Dec 31, 2022 | 11.10 Mn |
| Sep 30, 2022 | 12.17 Mn |
| Jun 30, 2022 | -8.68 Mn |
| Mar 31, 2022 | -14.90 Mn |
| Dec 31, 2021 | 3.34 Mn |
| Sep 30, 2021 | 13.15 Mn |
API Access
A.K.A. Brands Holding Cash from Operations 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=cash-from-operations&ticker=AKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();