Loan Artificial Intelligence (LAAI) Total Liabilities (2022 - 2026)
Loan Artificial Intelligence (LAAI) reported Total Liabilities of $218,579 for Q2 2026, up 75.4% from $124,626 a year earlier and up 10.2% from the prior quarter.
Powered by 
Analysis
Loan Artificial Intelligence (LAAI) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Loan Artificial Intelligence posted Total Liabilities of $189,706, up 71.9% from FY2024.
- Total Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 171.1% (FY2022 to FY2025).
- By year, Total Liabilities came in at $110,370 in FY2024 (+91.3%), $57,695 in FY2023 (+506.0%) and $9,520 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2022.
- Year over year, Total Liabilities has now increased in each of the last 11 quarters, with growth averaging 71.7% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 47.3% (Q2 2025) and 506.0% (Q4 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $198,347 (Q1 2026), $189,706 (Q4 2025) and $157,267 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 37.43 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 84.49 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,215.85 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.31 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.03 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.61 Bn |
| 10 | Loan Artificial Intelligence | 4,543.65 | 4,543.65 | - | 218,579.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218,579.00 |
| Mar 31, 2026 | 198,347.00 |
| Dec 31, 2025 | 189,706.00 |
| Sep 30, 2025 | 157,267.00 |
| Jun 30, 2025 | 124,626.00 |
| Mar 31, 2025 | 116,751.00 |
| Dec 31, 2024 | 110,370.00 |
| Sep 30, 2024 | 94,546.00 |
| Jun 30, 2024 | 84,579.00 |
| Mar 31, 2024 | 64,241.00 |
| Dec 31, 2023 | 57,695.00 |
| Sep 30, 2023 | 55,727.00 |
| Jun 30, 2023 | 45,595.00 |
| Mar 31, 2023 | 43,360.00 |
| Dec 31, 2022 | 9,520.00 |
API Access
Loan Artificial Intelligence Total 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-liabilities&ticker=LAAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LAAI", "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-liabilities&ticker=LAAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();