Veritone (VERI) Research & Development (2016 - 2026)
Veritone's Research & Development was $5.87 million in Q2 2026, up 19.0% from $4.93 million a year earlier.
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Analysis
Veritone (VERI) Research & Development (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veritone's Research & Development was $21.38 million through Jun 30, 2026, down 4.8% year-over-year; for FY2025, it was $20.71 million, down 22.8% from FY2024.
- Research & Development has now declined for three consecutive years, though with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier years, Research & Development was $26.82 million in FY2024 (-33.9%), $40.59 million in FY2023 (-6.9%), $43.59 million in FY2022 (+73.8%) and $25.08 million in FY2021 (+74.4%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2024.
- Compared with a year earlier, Research & Development was higher in 1 of the last seven quarters, with an average decline of 18.9%.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 175.6%); the worst was Q2 2024 (a decline of 42.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Veritone | 126.82 Mn | 37.17 Mn | 15.46 Mn | 5.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.87 Mn |
| Dec 31, 2025 | 5.08 Mn |
| Sep 30, 2025 | 5.49 Mn |
| Jun 30, 2025 | 4.93 Mn |
| Mar 31, 2025 | 5.21 Mn |
| Dec 31, 2024 | 5.55 Mn |
| Sep 30, 2024 | 6.76 Mn |
| Jun 30, 2024 | 6.08 Mn |
| Mar 31, 2024 | 8.43 Mn |
| Dec 31, 2023 | 8.14 Mn |
| Sep 30, 2023 | 10.41 Mn |
| Jun 30, 2023 | 10.52 Mn |
| Mar 31, 2023 | 11.53 Mn |
| Dec 31, 2022 | 10.85 Mn |
| Sep 30, 2022 | 11.78 Mn |
| Jun 30, 2022 | 11.07 Mn |
| Mar 31, 2022 | 9.88 Mn |
| Dec 31, 2021 | 10.22 Mn |
| Sep 30, 2021 | 5.25 Mn |
| Jun 30, 2021 | 4.65 Mn |
API Access
Veritone Research & Development 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=research-and-development&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();