Global AI (GLAI) EV to FCF (2016 - 2022)
Global AI's (GLAI) EV to FCF came in at 5303.81 for Q4 2022, up 182.1% from the prior quarter.
Powered by 
Analysis
Global AI (GLAI) EV to FCF (2016 - 2022) Analysis & Trends
Since Q4 2016, Global AI has reported EV to FCF for 17 quarters.
- In prior years, Global AI's EV to FCF was 721.54 in FY2019.
- Quarterly EV to FCF has run from a low of 495.07 in Q2 2020 to a high of 16781.16 in Q2 2021 over five years.
- According to Business Quant data, EV to FCF for the three prior quarters was 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 | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 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 FCF 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-fcf&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();