Global AI (GLAI) Price to Earnings (2017 - 2022)
Global AI's (GLAI) Price to Earnings came in at 14253.78 for Q4 2022.
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Analysis
Global AI (GLAI) Price to Earnings (2017 - 2022) Analysis & Trends
Since Q2 2017, Global AI has reported Price to Earnings for 14 quarters.
- In prior years, Global AI's Price to Earnings was 756.94 in FY2020 (-9.0%) and 831.43 in FY2019.
- The Q4 2022 figure stands as the highest quarterly Price to Earnings since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 14,253.78 |
| Jun 30, 2021 | 6,206.80 |
| Mar 31, 2021 | 5,502.15 |
| Sep 30, 2020 | 756.94 |
| Jun 30, 2020 | 344.71 |
| Mar 31, 2020 | 287.74 |
| Dec 31, 2019 | 460.49 |
| Sep 30, 2019 | 831.39 |
| Jun 30, 2019 | 2,387.76 |
| Mar 31, 2019 | 7,413.98 |
| Dec 31, 2018 | 863.23 |
| Sep 30, 2017 | 508.80 |
| Jun 30, 2017 | 26,989.48 |
| Mar 31, 2017 | 14,188.15 |
API Access
Global AI Price to Earnings 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=price-to-earnings&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GLAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();