Global AI (GLAI) Price to FCF (2016 - 2022)
Global AI's (GLAI) Price to FCF stood at 5306.66 in Q4 2022, up 182.0% from the prior quarter.
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Analysis
Global AI (GLAI) Price to FCF (2016 - 2022) Analysis & Trends
Starting with Q4 2016, Global AI's Price to FCF history includes 17 quarters.
- Across earlier years, Price to FCF came in at 721.85 in FY2019.
- Quarterly Price to FCF has ranged from 495.23 in Q2 2020 to 16784.29 in Q2 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at 1881.53 (Q3 2022), 1068.33 (Q2 2022) and 9864.55 (Q1 2022).
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 | 5,306.66 |
| Jun 30, 2022 | 1,881.53 |
| Mar 31, 2022 | 1,068.33 |
| Dec 31, 2021 | 9,864.55 |
| Mar 31, 2021 | 16,784.29 |
| Dec 31, 2020 | 1,468.59 |
| Jun 30, 2020 | 813.13 |
| Mar 31, 2020 | 495.23 |
| Dec 31, 2019 | 2,781.10 |
| Sep 30, 2019 | 721.85 |
| Jun 30, 2019 | 5,985.44 |
| Dec 31, 2018 | 1,819.82 |
| Sep 30, 2017 | 503.92 |
| Jun 30, 2017 | 6,853.29 |
| Mar 31, 2017 | 671.41 |
| Dec 31, 2016 | 1,041.34 |
| Sep 30, 2016 | 3,060.77 |
API Access
Global AI Price 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=price-to-fcf&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();