A.K.A. Brands Holding (AKA) Total Non-Current Liabilities (2020 - 2026)
A.K.A. Brands Holding's Total Non-Current Liabilities was $307.41 million in Q2 2026, up 4.3% from $294.71 million a year earlier and up 2.0% from the prior quarter.
A.K.A. Brands Holding (AKA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at A.K.A. Brands Holding came in at $297.41 million, up 11.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 42.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $265.95 million in FY2024 (+25.8%), $211.4 million in FY2023 (-19.0%), $261.08 million in FY2022 (+10.9%) and $235.49 million in FY2021 (+367.1%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for nine straight quarters, with growth averaging 15.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 367.1%); the worst was Q4 2023 (a decline of 19.0%).
- Per Business Quant data, AKA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $301.29 million (Q1 2026), $297.41 million (Q4 2025) and $299.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.33 Bn |
| 10 | A.K.A. Brands Holding | 120.60 Mn | 42.99 Mn | 97.84 Mn | 307.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.41 Mn |
| Mar 31, 2026 | 301.29 Mn |
| Dec 31, 2025 | 297.41 Mn |
| Sep 30, 2025 | 299.30 Mn |
| Jun 30, 2025 | 294.71 Mn |
| Mar 31, 2025 | 283.27 Mn |
| Dec 31, 2024 | 265.95 Mn |
| Sep 30, 2024 | 265.37 Mn |
| Jun 30, 2024 | 250.65 Mn |
| Mar 31, 2024 | 218.69 Mn |
| Dec 31, 2023 | 211.40 Mn |
| Sep 30, 2023 | 222.65 Mn |
| Jun 30, 2023 | 232.51 Mn |
| Mar 31, 2023 | 238.48 Mn |
| Dec 31, 2022 | 261.08 Mn |
| Sep 30, 2022 | 269.20 Mn |
| Jun 30, 2022 | 271.19 Mn |
| Mar 31, 2022 | 257.89 Mn |
| Dec 31, 2021 | 235.49 Mn |
| Sep 30, 2021 | 224.99 Mn |
A.K.A. Brands Holding Total Non-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-non-current-liabilities&ticker=AKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=AKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();