Fortinet (FTNT) Change in Taxes (2010 - 2023)
Fortinet (FTNT) posted Change in Taxes of $39.9 million for Q3 2023, up 1097.5% on a QoQ basis from -$4.0 million in Q3 2022, and up 1097.5% year-over-year from $3.3 million in Q3 2022.
Fortinet (FTNT) Change in Taxes (2010 - 2023) Analysis & Trends
Fortinet has reported Change in Taxes for 12 years, with the latest figure at $39.9 million in Q3 2023.
- On a quarterly basis, Change in Taxes rose 1097.5% year-over-year to $39.9 million in Q3 2023; TTM through Sep 2023 was $25.4 million, a 214.93% increase from a year earlier, with the FY2019 full-year figure at -$18.8 million, down 213.33% from the prior year.
- Change in Taxes was $39.9 million for Q3 2023 at Fortinet, up from -$4.0 million in the prior quarter.
- The five-year high for Change in Taxes was $39.9 million in Q3 2023, with the low at -$7.8 million in Q4 2019.
- Average Change in Taxes over 3 years is $2.8 million, with a median of -$3.3 million recorded in 2019.
- The sharpest annual moves came in 2019 and 2023: Change in Taxes sank 490.0% in 2019, then soared 1097.5% in 2023.
- Over 3 years, Change in Taxes stood at -$7.8 million in 2019, then surged by 48.72% to -$4.0 million in 2022, then jumped by 1097.5% to $39.9 million in 2023.
- The last three Change in Taxes figures came in at $39.9 million (Q3 2023), -$4.0 million (Q3 2022), and -$7.8 million (Q4 2019), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | - |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | - |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | - |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | - |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | - |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 39.90 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Dec 31, 2019 | -7.80 Mn |
| Sep 30, 2019 | -2.70 Mn |
| Jun 30, 2019 | -7.60 Mn |
| Mar 31, 2019 | -700,000.00 |
| Dec 31, 2018 | 2.00 Mn |
| Sep 30, 2018 | 5.20 Mn |
| Jun 30, 2018 | -5.40 Mn |
| Mar 31, 2018 | -7.80 Mn |
| Dec 31, 2017 | 7.80 Mn |
| Sep 30, 2017 | 6.90 Mn |
| Jun 30, 2017 | 9.80 Mn |
| Mar 31, 2017 | 5.00 Mn |
| Dec 31, 2016 | 6.31 Mn |
| Sep 30, 2016 | 1.33 Mn |
| Jun 30, 2016 | 72,000.00 |
| Mar 31, 2016 | 5.39 Mn |
| Dec 31, 2015 | 6.62 Mn |
| Sep 30, 2015 | 3.72 Mn |
Fortinet Change in Taxes 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=change-in-taxes&ticker=FTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "FTNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();