Able View Global (ABLV) Total Debt (2021 - 2025)
Able View Global (ABLV) reported Total Debt of $11.44 million for the quarter ended Dec 31, 2025, down 100.0% from $7.97 trillion a year earlier.
Able View Global (ABLV) Total Debt (2021 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2021, Able View Global's Total Debt record includes 8 quarters.
- Total Debt has a four-year compound annual growth rate of -23.9% (years ended Dec 2021 to Dec 2025).
- By year, Total Debt came in at $7.97 trillion in the year ended Dec 31, 2024, $2.88 million in the year ended Dec 31, 2023 (-94.9%), $57.06 million in the year ended Dec 31, 2022 (+67.5%) and $34.07 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Total Debt since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 34.14 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 7.86 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 8.48 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 7.31 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.52 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 2.26 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 5.07 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 832.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Able View Global | 87.91 Mn | 48.37 Mn | - | 11.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.44 Mn |
| Jun 30, 2025 | 9,085.69 Bn |
| Dec 31, 2024 | 7,972.77 Bn |
| Jun 30, 2024 | 9.84 Mn |
| Dec 31, 2023 | 2.88 Mn |
| Jun 30, 2023 | 288,671.00 |
| Dec 31, 2022 | 57.06 Mn |
| Dec 31, 2021 | 34.07 Mn |
Able View Global Total Debt 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-debt&ticker=ABLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=ABLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();