Veritone (VERI) Price to Sales (2017 - 2026)
Veritone's Price to Sales came in at 1.44 for Q2 2026, up 117.0% from 0.67 a year earlier.
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Analysis
Veritone (VERI) Price to Sales (2017 - 2026) Analysis & Trends
For FY2025, Veritone's Price to Sales was 3.19, up 124.3% from FY2024.
- Going back by year, Price to Sales was 1.42 in FY2024 (+111.5%), 0.67 in FY2023 (-47.6%), 1.29 in FY2022 (-81.1%) and 6.82 in FY2021 (-56.5%).
- The five-year range for quarterly Price to Sales is 0.59 (Q4 2023) to 10.82 (Q3 2021).
- Year-over-year, Price to Sales increased in five of the last seven quarters, with growth averaging 69.5%.
- The fastest year-over-year change in Price to Sales over five years came in Q4 2024 (growth of 139.7%), and the weakest in Q3 2022 (a decline of 88.3%).
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 | Veritone | 74.31 Mn | -15.34 Mn | 15.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 |
| Dec 31, 2025 | 3.19 |
| Sep 30, 2025 | 2.42 |
| Jun 30, 2025 | 0.67 |
| Mar 31, 2025 | 1.15 |
| Dec 31, 2024 | 1.42 |
| Sep 30, 2024 | 1.41 |
| Jun 30, 2024 | 0.83 |
| Mar 31, 2024 | 1.85 |
| Dec 31, 2023 | 0.59 |
| Sep 30, 2023 | 0.74 |
| Jun 30, 2023 | 1.04 |
| Mar 31, 2023 | 1.47 |
| Dec 31, 2022 | 1.29 |
| Sep 30, 2022 | 1.27 |
| Jun 30, 2022 | 1.61 |
| Mar 31, 2022 | 5.02 |
| Dec 31, 2021 | 6.82 |
| Sep 30, 2021 | 10.82 |
| Jun 30, 2021 | 9.25 |
API Access
Veritone Price to Sales 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-sales&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();