Veritone (VERI) Property, Plant & Equipment (Net) (2016 - 2026)
Veritone (VERI) posted Property, Plant & Equipment (Net) of $9.11 million for Q2 2026, down 14.6% from $10.68 million a year earlier and down 0.3% from the prior quarter.
Veritone (VERI) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Veritone's Property, Plant & Equipment (Net) came in at $9.58 million, down 4.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- In prior years, Veritone's Property, Plant & Equipment (Net) was $10.05 million in FY2024 (+24.4%), $8.08 million in FY2023 (+52.7%), $5.29 million in FY2022 (+240.0%) and $1.56 million in FY2021 (-33.9%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2022, with growth of 609.8%; the weakest was Q3 2021, with a decline of 52.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $9.14 million (Q1 2026), $9.58 million (Q4 2025) and $9.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 243.75 Bn | 228.82 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 226.61 Bn | 207.02 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Snowflake | 102.12 Bn | 89.44 Bn | 1.04 Bn | 207.98 Mn |
| 4 | Fortinet | 89.55 Bn | 73.80 Bn | 1.64 Bn | 1.73 Bn |
| 5 | Datadog | 64.34 Bn | 44.88 Bn | 959.92 Mn | 438.17 Mn |
| 6 | Zscaler | 32.19 Bn | 18.34 Bn | 689.22 Mn | 753.00 Mn |
| 7 | Okta | 31.08 Bn | 21.18 Bn | 641.00 Mn | 33.00 Mn |
| 8 | MongoDB | 26.40 Bn | 16.87 Bn | 569.77 Mn | 38.99 Mn |
| 9 | Axon Enterprise | 25.17 Bn | 19.70 Bn | 546.45 Mn | 341.51 Mn |
| 10 | Veritone | 49.80 Mn | -41.37 Mn | 15.46 Mn | 9.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.11 Mn |
| Dec 31, 2025 | 9.58 Mn |
| Sep 30, 2025 | 9.95 Mn |
| Jun 30, 2025 | 10.68 Mn |
| Mar 31, 2025 | 10.46 Mn |
| Dec 31, 2024 | 10.05 Mn |
| Sep 30, 2024 | 9.86 Mn |
| Jun 30, 2024 | 9.79 Mn |
| Mar 31, 2024 | 9.17 Mn |
| Dec 31, 2023 | 8.08 Mn |
| Sep 30, 2023 | 11.60 Mn |
| Jun 30, 2023 | 11.40 Mn |
| Mar 31, 2023 | 6.39 Mn |
| Dec 31, 2022 | 5.29 Mn |
| Sep 30, 2022 | 4.64 Mn |
| Jun 30, 2022 | 3.40 Mn |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | 1.56 Mn |
| Sep 30, 2021 | 1.18 Mn |
| Jun 30, 2021 | 479,000.00 |
Veritone Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();