Global AI (GLAI) EV to CFO (2016 - 2022)
Global AI's (GLAI) EV to CFO was 5303.81 for Q4 2022, up 182.1% from the prior quarter.
Analysis
Global AI (GLAI) EV to CFO (2016 - 2022) Analysis & Trends
Dating back to Q4 2016, Global AI's EV to CFO record includes 17 quarters.
- By year, EV to CFO came in at 721.54 in FY2019.
- Five-year quarterly EV to CFO spans a low of 495.07 in Q2 2020 and a high of 16781.16 in Q2 2021.
- Per Business Quant data, the three quarters before Q4 2022 came in at 1879.99 (Q3 2022), 1066.50 (Q2 2022) and 9847.32 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 5,303.81 |
| Jun 30, 2022 | 1,879.99 |
| Mar 31, 2022 | 1,066.50 |
| Dec 31, 2021 | 9,847.32 |
| Mar 31, 2021 | 16,781.16 |
| Dec 31, 2020 | 1,467.28 |
| Jun 30, 2020 | 812.82 |
| Mar 31, 2020 | 495.07 |
| Dec 31, 2019 | 2,780.90 |
| Sep 30, 2019 | 721.54 |
| Jun 30, 2019 | 5,979.97 |
| Dec 31, 2018 | 1,817.16 |
| Sep 30, 2017 | 502.85 |
| Jun 30, 2017 | 6,853.08 |
| Mar 31, 2017 | 671.39 |
| Dec 31, 2016 | 1,040.64 |
| Sep 30, 2016 | 3,060.73 |
API Access
Global AI EV to CFO 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=ev-to-cfo&ticker=GLAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();