A.K.A. Brands Holding (AKA) Total Current Liabilities (2020 - 2026)
A.K.A. Brands Holding (AKA) posted Total Current Liabilities of $111.77 million for Q2 2026, down 4.6% from $117.17 million a year earlier but up 5.9% from the prior quarter.
A.K.A. Brands Holding (AKA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, A.K.A. Brands Holding's Total Current Liabilities came in at $105.05 million, up 8.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, A.K.A. Brands Holding's Total Current Liabilities was $97.04 million in FY2024 (+12.9%), $85.96 million in FY2023 (-2.7%), $88.34 million in FY2022 (-18.2%) and $108.02 million in FY2021 (+161.9%).
- Quarterly Total Current Liabilities has run from a low of $75.77 million in Q1 2023 to a high of $117.17 million in Q2 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 10.2%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 161.9%; the weakest was Q2 2023, with a decline of 25.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $105.51 million (Q1 2026), $105.05 million (Q4 2025) and $107.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 728.03 Mn |
| 10 | A.K.A. Brands Holding | 123.01 Mn | 45.40 Mn | 97.84 Mn | 111.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.77 Mn |
| Mar 31, 2026 | 105.51 Mn |
| Dec 31, 2025 | 105.05 Mn |
| Sep 30, 2025 | 107.63 Mn |
| Jun 30, 2025 | 117.17 Mn |
| Mar 31, 2025 | 97.98 Mn |
| Dec 31, 2024 | 97.04 Mn |
| Sep 30, 2024 | 98.83 Mn |
| Jun 30, 2024 | 99.84 Mn |
| Mar 31, 2024 | 82.49 Mn |
| Dec 31, 2023 | 85.96 Mn |
| Sep 30, 2023 | 88.15 Mn |
| Jun 30, 2023 | 81.67 Mn |
| Mar 31, 2023 | 75.77 Mn |
| Dec 31, 2022 | 88.34 Mn |
| Sep 30, 2022 | 108.81 Mn |
| Jun 30, 2022 | 108.93 Mn |
| Mar 31, 2022 | 90.00 Mn |
| Dec 31, 2021 | 108.02 Mn |
| Sep 30, 2021 | 87.52 Mn |
A.K.A. Brands Holding Total Current Liabilities 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=total-current-liabilities&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();