Quantum Genesis AI (QGAI) Non-Current Assets (2016 - 2018)
Quantum Genesis AI (QGAI) posted Non-Current Assets of $10,160 for fiscal Q3 2018 (quarter ended Apr 30, 2018), down 5.4% from $10,740 a year earlier and down 1.4% from the prior quarter.
Quantum Genesis AI (QGAI) Non-Current Assets (2016 - 2018) Analysis & Trends
At the end of FY2017 (ended Jul 31, 2017), Quantum Genesis AI's Non-Current Assets came in at $10,595, down 5.2% from FY2016.
- In prior fiscal years, Quantum Genesis AI's Non-Current Assets was $11,175 in FY2016.
- The fiscal Q3 2018 figure stands as the lowest quarterly Non-Current Assets in data going back to fiscal Q4 2016.
- On a year-over-year basis, Non-Current Assets has declined in each of the last four quarters, with an average decline of 5.5% over the last four quarters.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $10,305 (Q2 2018), $10,368 (Q1 2018) and $10,595 (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | 2.84 Bn |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 4.48 Bn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 651.70 Mn |
| 10 | Quantum Genesis AI | 1.06 Mn | 1.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2018 | 10,160.00 |
| Jan 31, 2018 | 10,305.00 |
| Oct 31, 2017 | 10,368.00 |
| Jul 31, 2017 | 10,595.00 |
| Apr 30, 2017 | 10,740.00 |
| Jan 31, 2017 | 10,885.00 |
| Oct 31, 2016 | 11,030.00 |
| Jul 31, 2016 | 11,175.00 |
Quantum Genesis AI Non-Current Assets 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-current-assets&ticker=QGAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=QGAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();