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 but up 4.4% from the prior quarter.
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 39.8% 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 $172.41 million in FY2024 (-47.2%), $326.45 million in FY2023 (-1.4%), $331.09 million in FY2022 (-14.3%) and $386.42 million in FY2021 (+337.9%).
- Quarterly Total Non-Current Liabilities has ranged from $96.26 million in Q1 2026 to $386.42 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 38.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 337.9% in Q4 2021, against a decline of 51.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $96.26 million (Q1 2026), $103.78 million (Q4 2025) and $172.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 242.71 Bn | 227.79 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 226.31 Bn | 206.71 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 101.65 Bn | 88.97 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 89.39 Bn | 73.64 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.14 Bn | 44.69 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 32.12 Bn | 18.27 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 30.80 Bn | 20.90 Bn | 641.00 Mn | 2.11 Bn |
| 8 | MongoDB | 26.36 Bn | 16.83 Bn | 569.77 Mn | 770.18 Mn |
| 9 | Axon Enterprise | 25.15 Bn | 19.68 Bn | 546.45 Mn | 3.62 Bn |
| 10 | Veritone | 49.13 Mn | -42.04 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 | 172.41 Mn |
| Sep 30, 2024 | 352.18 Mn |
| Jun 30, 2024 | 315.39 Mn |
| Mar 31, 2024 | 331.80 Mn |
| Dec 31, 2023 | 326.45 Mn |
| Sep 30, 2023 | 324.66 Mn |
| Jun 30, 2023 | 299.54 Mn |
| Mar 31, 2023 | 290.13 Mn |
| Dec 31, 2022 | 331.09 Mn |
| Sep 30, 2022 | 381.79 Mn |
| Jun 30, 2022 | 366.08 Mn |
| Mar 31, 2022 | 361.15 Mn |
| Dec 31, 2021 | 386.42 Mn |
| Sep 30, 2021 | 173.16 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();