Veritone (VERI) Amortization - Intangibles (2019 - 2024)
Veritone (VERI) reported Amortization - Intangibles of $6.03 million for Q3 2024, down 6.6% from $6.45 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Veritone (VERI) Amortization - Intangibles (2019 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, Veritone's Amortization - Intangibles came in at $24.63 million, up 6.9% year-over-year; for FY2023, it came in at $23.72 million, up 12.0% from FY2022.
- Amortization - Intangibles has increased for four consecutive years, with a four-year compound annual growth rate of 48.6% (FY2019 to FY2023).
- By year, Amortization - Intangibles came in at $21.18 million in FY2022 (+138.7%), $8.87 million in FY2021 (+64.8%), $5.38 million in FY2020 (+10.7%) and $4.86 million in FY2019.
- Five-year quarterly Amortization - Intangibles spans a low of $1.08 million in Q1 2021 and a high of $6.63 million in Q4 2023.
- Year over year, Amortization - Intangibles gained in seven of the last eight quarters, with growth averaging 9.2%.
- The high point for year-over-year Amortization - Intangibles in five years was Q2 2022 (growth of 382.9%); the low point was Q1 2021 (a decline of 20.0%).
- Per Business Quant data, the three quarters before Q3 2024 came in at $5.99 million (Q2 2024), $5.99 million (Q1 2024) and $6.63 million (Q4 2023).
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 | Veritone | 117.90 Mn | 28.25 Mn | 15.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 6.03 Mn |
| Jun 30, 2024 | 5.99 Mn |
| Mar 31, 2024 | 5.99 Mn |
| Dec 31, 2023 | 6.63 Mn |
| Sep 30, 2023 | 6.45 Mn |
| Jun 30, 2023 | 5.71 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 5.45 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 5.21 Mn |
| Mar 31, 2022 | 5.02 Mn |
| Dec 31, 2021 | 5.03 Mn |
| Sep 30, 2021 | 1.68 Mn |
| Jun 30, 2021 | 1.08 Mn |
| Mar 31, 2021 | 1.08 Mn |
| Dec 31, 2020 | 1.34 Mn |
| Sep 30, 2020 | 1.35 Mn |
| Jun 30, 2020 | 1.35 Mn |
| Mar 31, 2020 | 1.35 Mn |
| Dec 31, 2019 | 1.35 Mn |
API Access
Veritone Amortization - Intangibles 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=amortization-intangibles&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "VERI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();