Antelope Enterprise Holdings (AEHL) Debt Ratio (2009 - 2025)
Antelope Enterprise Holdings' Debt Ratio came in at 0.07 for fiscal Q3 2025 (quarter ended Sep 30, 2025), down 34.3% from the prior quarter.
Antelope Enterprise Holdings (AEHL) Debt Ratio (2009 - 2025) Analysis & Trends
For FY2024 (ended Dec 31, 2024), Antelope Enterprise Holdings' Debt Ratio was 0.14, up 117.3% from FY2023.
- Going back by fiscal year, Debt Ratio was 0.06 in FY2023 (-48.0%) and 0.12 in FY2022.
- The fiscal Q3 2025 figure represents the lowest quarterly Debt Ratio since fiscal Q4 2023.
- Year-over-year, Debt Ratio increased in two of the last four quarters, with growth averaging 64.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 0.11 |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 0.19 |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 0.24 |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 0.09 |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 0.19 |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 0.68 |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | - |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 0.43 |
| 10 | Antelope Enterprise Holdings | 409,863.27 | -6.41 Mn | -1.65 Mn | 0.07 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 0.07 |
| Jun 30, 2025 | 0.10 |
| Dec 31, 2024 | 0.14 |
| Jun 30, 2024 | 0.22 |
| Dec 31, 2023 | 0.06 |
| Jun 30, 2023 | 0.07 |
| Dec 31, 2022 | 0.08 |
| Dec 31, 2013 | 0.06 |
| Jun 30, 2013 | 0.04 |
| Dec 31, 2012 | 0.04 |
| Dec 31, 2011 | 0.11 |
| Dec 31, 2010 | 0.04 |
| Jun 30, 2010 | 0.11 |
| Mar 31, 2010 | 0.10 |
| Dec 31, 2009 | 0.04 |
| Sep 30, 2009 | 0.06 |
Antelope Enterprise Holdings Debt Ratio 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=debt-ratio&ticker=AEHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "AEHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=AEHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();