Veritone (VERI) Total Debt (2016 - 2026)
Veritone's Total Debt was $45.47 million in Q2 2026, up 72.1% from $26.42 million a year earlier and up 0.2% from the prior quarter.
Analysis
Veritone (VERI) Total Debt (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Veritone came in at $90.63 million, up 211.8% from FY2024.
- In earlier years, Total Debt was $29.07 million in FY2024 (-42.8%) and $50.83 million in FY2023.
- Quarterly Total Debt has moved between $25.64 million (Q3 2025) and $90.63 million (Q4 2025) over five years.
- Compared with a year earlier, Total Debt has increased for three straight quarters, with growth averaging 33.9% over the last six quarters.
- Per Business Quant data, VERI's Total Debt in the three quarters before Q2 2026 was $45.39 million (Q1 2026), $90.63 million (Q4 2025) and $25.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 247.97 Bn | 233.04 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 233.10 Bn | 213.50 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Snowflake | 101.74 Bn | 89.06 Bn | 1.04 Bn | - |
| 4 | Fortinet | 89.95 Bn | 74.21 Bn | 1.64 Bn | 497.10 Mn |
| 5 | Datadog | 64.44 Bn | 44.99 Bn | 959.92 Mn | - |
| 6 | Zscaler | 31.90 Bn | 18.05 Bn | 689.22 Mn | - |
| 7 | Okta | 31.04 Bn | 21.14 Bn | 641.00 Mn | - |
| 8 | MongoDB | 26.37 Bn | 16.84 Bn | 569.77 Mn | - |
| 9 | Axon Enterprise | 24.42 Bn | 18.94 Bn | 546.45 Mn | 1.73 Bn |
| 10 | Veritone | 50.06 Mn | -41.11 Mn | 15.46 Mn | 45.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.47 Mn |
| Dec 31, 2025 | 90.63 Mn |
| Sep 30, 2025 | 25.64 Mn |
| Jun 30, 2025 | 26.42 Mn |
| Mar 31, 2025 | 28.19 Mn |
| Dec 31, 2024 | 29.07 Mn |
| Sep 30, 2024 | 51.17 Mn |
| Jun 30, 2024 | 51.64 Mn |
| Dec 31, 2023 | 50.83 Mn |
| Mar 31, 2017 | 15.32 Mn |
| Dec 31, 2016 | 13.39 Mn |
API Access
Veritone Total Debt 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=total-debt&ticker=VERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();