Veritone (VERI) Price to Book (2017 - 2026)
Veritone's (VERI) Price to Book stood at 3.58 in Q2 2026, down 79.2% from 17.22 a year earlier.
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Analysis
Veritone (VERI) Price to Book (2017 - 2026) Analysis & Trends
For FY2025, Veritone's Price to Book came in at 4.32, down 55.9% from FY2024.
- Across earlier years, Price to Book came in at 9.81 in FY2024 (+455.8%), 1.76 in FY2023 (-26.8%), 2.41 in FY2022 (-73.5%) and 9.09 in FY2021 (-11.4%).
- The Q2 2026 figure is the lowest quarterly Price to Book since Q4 2023.
- On a year-over-year basis, Price to Book rose in 1 of the last four quarters, with growth averaging 68.5%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 455.8% in Q4 2024, against a decline of 79.2% in Q2 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Veritone | 74.31 Mn | -15.34 Mn | 15.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.58 |
| Dec 31, 2025 | 4.32 |
| Sep 30, 2025 | 14.80 |
| Jun 30, 2025 | 17.22 |
| Mar 31, 2025 | 7.09 |
| Dec 31, 2024 | 9.81 |
| Mar 31, 2024 | 13.32 |
| Dec 31, 2023 | 1.76 |
| Sep 30, 2023 | 5.12 |
| Jun 30, 2023 | 3.70 |
| Mar 31, 2023 | 3.53 |
| Dec 31, 2022 | 2.41 |
| Sep 30, 2022 | 2.89 |
| Jun 30, 2022 | 3.36 |
| Mar 31, 2022 | 9.66 |
| Dec 31, 2021 | 9.09 |
| Sep 30, 2021 | 7.74 |
| Jun 30, 2021 | 8.08 |
| Mar 31, 2021 | 9.13 |
| Dec 31, 2020 | 10.26 |
API Access
Veritone Price to Book 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-book&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();