Veritone (VERI) Total Non-Current Liabilities (2016 - 2026)
Veritone (VERI) recorded Total Non-Current Liabilities of $100.54 million in Q2 2026, down 41.9% from $172.94 million a year earlier.
Veritone (VERI) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Veritone reported Total Non-Current Liabilities of $103.78 million, down 40.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, though with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $173.31 million in FY2024 (-47.0%), $327.09 million in FY2023 (-1.2%), $331.09 million in FY2022 (-17.3%) and $400.31 million in FY2021 (+353.6%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last seven quarters, with an average decline of 37.8%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 353.6% in Q4 2021, against a decline of 51.3% in Q3 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Veritone | 117.90 Mn | 28.25 Mn | 15.46 Mn | 100.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.54 Mn |
| Dec 31, 2025 | 103.78 Mn |
| Sep 30, 2025 | 172.03 Mn |
| Jun 30, 2025 | 172.94 Mn |
| Mar 31, 2025 | 172.78 Mn |
| Dec 31, 2024 | 173.31 Mn |
| Sep 30, 2024 | 352.93 Mn |
| Jun 30, 2024 | 315.99 Mn |
| Mar 31, 2024 | 332.25 Mn |
| Dec 31, 2023 | 327.09 Mn |
| Sep 30, 2023 | 324.98 Mn |
| Jun 30, 2023 | 299.54 Mn |
| Mar 31, 2023 | 290.13 Mn |
| Dec 31, 2022 | 331.09 Mn |
| Sep 30, 2022 | 382.34 Mn |
| Jun 30, 2022 | 366.39 Mn |
| Mar 31, 2022 | 378.36 Mn |
| Dec 31, 2021 | 400.31 Mn |
| Sep 30, 2021 | 175.04 Mn |
| Jun 30, 2021 | 104.71 Mn |
Veritone Total Non-Current 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-non-current-liabilities&ticker=VERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();