Veritone (VERI) Total Liabilities (2016 - 2026)
Veritone (VERI) recorded Total Liabilities of $110.63 million in Q2 2026, down 40.1% from $184.59 million a year earlier.
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Analysis
Veritone (VERI) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Veritone reported Total Liabilities of $114.16 million, down 38.2% from FY2024.
- Annual Total Liabilities has declined for four straight years, though with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $184.61 million in FY2024 (-45.8%), $340.71 million in FY2023 (-1.2%), $344.9 million in FY2022 (-20.1%) and $431.85 million in FY2021 (+382.8%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities rose in 1 of the last seven quarters, with an average decline of 36.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 382.8% in Q4 2021, against a decline of 49.4% in Q3 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Veritone | 126.82 Mn | 37.17 Mn | 15.46 Mn | 110.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.63 Mn |
| Dec 31, 2025 | 114.16 Mn |
| Sep 30, 2025 | 183.11 Mn |
| Jun 30, 2025 | 184.59 Mn |
| Mar 31, 2025 | 184.89 Mn |
| Dec 31, 2024 | 184.61 Mn |
| Sep 30, 2024 | 361.59 Mn |
| Jun 30, 2024 | 327.50 Mn |
| Mar 31, 2024 | 344.78 Mn |
| Dec 31, 2023 | 340.71 Mn |
| Sep 30, 2023 | 340.72 Mn |
| Jun 30, 2023 | 316.87 Mn |
| Mar 31, 2023 | 301.85 Mn |
| Dec 31, 2022 | 344.90 Mn |
| Sep 30, 2022 | 399.02 Mn |
| Jun 30, 2022 | 381.73 Mn |
| Mar 31, 2022 | 414.05 Mn |
| Dec 31, 2021 | 431.85 Mn |
| Sep 30, 2021 | 183.58 Mn |
| Jun 30, 2021 | 106.70 Mn |
API Access
Veritone Total Liabilities 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-liabilities&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();