Quantum Genesis AI (QGAI) Non Operating Interest Expenses (2024 - 2026)
Quantum Genesis AI (QGAI) recorded Non Operating Interest Expenses of $5,829 in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 9.8% from $5,310 a year earlier and up 142.6% from the prior quarter.
Quantum Genesis AI (QGAI) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Quantum Genesis AI's Non Operating Interest Expenses came in at $24,965 as of Apr 30, 2026; for FY2025 (ended Jul 31, 2025), it was $21,232, up 41.8% from FY2024.
- Across earlier fiscal years, Non Operating Interest Expenses came in at $14,976 in FY2024.
- Quarterly Non Operating Interest Expenses has ranged from $2,403 in fiscal Q2 2026 to $10,672 in fiscal Q1 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $2,403 (Q2 2026), $10,672 (Q1 2026) and $6,061 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 924,000.00 |
| 10 | Quantum Genesis AI | 1.95 Mn | 1.95 Mn | - | 5,829.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 5,829.00 |
| Jan 31, 2026 | 2,403.00 |
| Oct 31, 2025 | 10,672.00 |
| Jul 31, 2025 | 6,061.00 |
| Apr 30, 2025 | 5,310.00 |
| Jan 31, 2025 | 5,272.00 |
| Oct 31, 2024 | 4,589.00 |
Quantum Genesis AI Non Operating Interest 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=non-operating-interest-expenses&ticker=QGAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "QGAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=QGAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();