Agi (AGBK) Total Non-Current Liabilities (2024 - 2026)
Agi's Total Non-Current Liabilities came in at $8.98 billion for the quarter ended Jun 30, 2026, up 47.2% from $6.1 billion a year earlier and up 4.0% from the prior quarter.
Agi (AGBK) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
As of Dec 31, 2025, Agi's Total Non-Current Liabilities was $8.02 billion, up 78.7% from the prior year.
- Going back by year, Total Non-Current Liabilities was $4.49 billion in the year ended Dec 31, 2024.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters.
- Business Quant data shows AGBK's Total Non-Current Liabilities at $8.63 billion (quarter ended Mar 31, 2026), $8.02 billion (quarter ended Dec 31, 2025) and $7.44 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Agi | 4.81 Bn | -22.77 Bn | - | 8.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.98 Bn |
| Mar 31, 2026 | 8.63 Bn |
| Dec 31, 2025 | 8.02 Bn |
| Sep 30, 2025 | 7.44 Bn |
| Jun 30, 2025 | 6.10 Bn |
| Mar 31, 2025 | 5.02 Bn |
| Dec 31, 2024 | 4.49 Bn |
Agi 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=AGBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AGBK", "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=AGBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();