A.K.A. Brands Holding (AKA) Capital Expenditures (2020 - 2026)
A.K.A. Brands Holding (AKA) posted Capital Expenditures of $4.33 million for Q2 2026, down 3.5% from $4.49 million a year earlier but up 67.7% from the prior quarter.
A.K.A. Brands Holding (AKA) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at A.K.A. Brands Holding was $16.06 million, down 4.3% year-over-year; for FY2025, it came in at $17.07 million, up 47.2% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 66.6% (FY2020 to FY2025).
- In prior years, A.K.A. Brands Holding's Capital Expenditures was $11.59 million in FY2024 (+94.2%), $5.97 million in FY2023 (-69.8%), $19.75 million in FY2022 (+155.3%) and $7.73 million in FY2021 (+482.4%).
- Quarterly Capital Expenditures has run from a low of $508,000 in Q4 2023 to a high of $8.14 million in Q3 2022 over five years.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 162.8%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2021, with growth of 828.9%; the weakest was Q4 2023, with a decline of 91.2%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $2.58 million (Q1 2026), $4.73 million (Q4 2025) and $4.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 138.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 39.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -19.85 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -30.49 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 20.73 Mn |
| 10 | A.K.A. Brands Holding | 120.60 Mn | 42.99 Mn | 97.84 Mn | 4.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.33 Mn |
| Mar 31, 2026 | 2.58 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 4.42 Mn |
| Jun 30, 2025 | 4.49 Mn |
| Mar 31, 2025 | 3.44 Mn |
| Dec 31, 2024 | 3.90 Mn |
| Sep 30, 2024 | 4.96 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | 754,000.00 |
| Dec 31, 2023 | 508,000.00 |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 1.76 Mn |
| Mar 31, 2023 | 1.85 Mn |
| Dec 31, 2022 | 5.80 Mn |
| Sep 30, 2022 | 8.14 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 3.02 Mn |
| Sep 30, 2021 | 1.35 Mn |
A.K.A. Brands Holding Capital Expenditures 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=capital-expenditures&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();