Antelope Enterprise Holdings (AEHL) Operating Leases (2019 - 2025)
Antelope Enterprise Holdings (AEHL) reported Operating Leases of $346,000 for fiscal Q3 2025 (quarter ended Sep 30, 2025), up 3.6% from the prior quarter.
Antelope Enterprise Holdings (AEHL) Operating Leases (2019 - 2025) Analysis & Trends
At the end of FY2024 (ended Dec 31, 2024), Antelope Enterprise Holdings posted Operating Leases of $348,000.
- Operating Leases has a five-year compound annual growth rate of -16.1% (FY2019 to FY2024).
- By fiscal year, Operating Leases came in at $23,383 in FY2022 (-98.9%), $2.08 million in FY2021 (+6.7%) and $1.95 million in FY2020 (+132.1%).
- Five-year quarterly Operating Leases spans a low of -$2.72 million in fiscal Q1 2023 and a high of $2.39 million in fiscal Q2 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn |
| 10 | Antelope Enterprise Holdings | 409,863.27 | -6.41 Mn | -1.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 346,000.00 |
| Jun 30, 2025 | 334,000.00 |
| Dec 31, 2024 | 348,000.00 |
| Jun 30, 2024 | 117,000.00 |
| Apr 28, 2023 | -2.72 Mn |
| Dec 31, 2022 | 22,074.84 |
| Jun 30, 2022 | 2.08 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Jun 30, 2021 | 2.39 Mn |
| Dec 31, 2020 | 2.03 Mn |
| Jun 30, 2020 | 6.49 Mn |
| Dec 31, 2019 | 821,915.30 |
| Jun 30, 2019 | 821,000.00 |
Antelope Enterprise Holdings Operating Leases 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=operating-leases&ticker=AEHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AEHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();