Able View Global (ABLV) Operating Leases (2022 - 2025)
Able View Global (ABLV) reported Operating Leases of $110,622 for the quarter ended Dec 31, 2025, compared with $9,163 a year earlier.
Powered by 
Analysis
Able View Global (ABLV) Operating Leases (2022 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2022, Able View Global's Operating Leases record includes 7 quarters.
- Operating Leases has a three-year compound annual growth rate of 78.7% (years ended Dec 2022 to Dec 2025).
- By year, Operating Leases came in at $9,163 in the year ended Dec 31, 2024 (-99.1%), $1 million in the year ended Dec 31, 2023 and $19,394 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Operating Leases since the quarter ended Jun 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Able View Global | 87.91 Mn | 48.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 110,622.00 |
| Jun 30, 2025 | 2,362.00 |
| Dec 31, 2024 | 9,163.00 |
| Jun 30, 2024 | 638,711.00 |
| Dec 31, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Dec 31, 2022 | 19,394.00 |
API Access
Able View Global 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=ABLV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ABLV", "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=ABLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();