Loan Artificial Intelligence (LAAI) Operating Expenses (2022 - 2026)
Loan Artificial Intelligence (LAAI) reported Operating Expenses of $20,232 for Q2 2026, up 156.9% from $7,875 a year earlier and up 134.1% from the prior quarter.
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Analysis
Loan Artificial Intelligence (LAAI) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Loan Artificial Intelligence's Operating Expenses came in at $93,953, up 134.6% year-over-year; for FY2025, it was $79,336, up 50.6% from FY2024.
- Operating Expenses has a three-year compound annual growth rate of 23.9% (FY2022 to FY2025).
- By year, Operating Expenses came in at $52,675 in FY2024 (-7.1%), $56,677 in FY2023 (+35.9%) and $41,716 in FY2022.
- Five-year quarterly Operating Expenses spans a low of $2,146 in Q4 2022 and a high of $33,718 in Q1 2023.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 64.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 721.0%); the low point was Q1 2024 (a decline of 80.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8,641 (Q1 2026), $32,439 (Q4 2025) and $32,641 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Loan Artificial Intelligence | 4,543.65 | 4,543.65 | - | 20,232.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20,232.00 |
| Mar 31, 2026 | 8,641.00 |
| Dec 31, 2025 | 32,439.00 |
| Sep 30, 2025 | 32,641.00 |
| Jun 30, 2025 | 7,875.00 |
| Mar 31, 2025 | 6,381.00 |
| Dec 31, 2024 | 15,824.00 |
| Sep 30, 2024 | 9,967.00 |
| Jun 30, 2024 | 20,312.00 |
| Mar 31, 2024 | 6,572.00 |
| Dec 31, 2023 | 10,354.00 |
| Sep 30, 2023 | 10,132.00 |
| Jun 30, 2023 | 2,474.00 |
| Mar 31, 2023 | 33,718.00 |
| Dec 31, 2022 | 2,146.00 |
| Sep 30, 2022 | 6,620.00 |
API Access
Loan Artificial Intelligence Operating Expenses 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-expenses&ticker=LAAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LAAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();