Veritone (VERI) Net Long-Term Debt Issued (Repaid) (2016 - 2025)
Veritone (VERI) reported Net Long-Term Debt Issued (Repaid) of -$74.02 million for Q4 2025, compared with -$32.45 million a year earlier.
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Analysis
Veritone (VERI) Net Long-Term Debt Issued (Repaid) (2016 - 2025) Analysis & Trends
For FY2025, Veritone posted Net Long-Term Debt Issued (Repaid) of -$79.83 million.
- By year, Net Long-Term Debt Issued (Repaid) came in at -$36.32 million in FY2024, $77.5 million in FY2023, -$380,000 in FY2022 and $201.25 million in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Net Long-Term Debt Issued (Repaid) in data going back to Q4 2016.
- Per Business Quant data, the three quarters before Q4 2025 came in at -$1.94 million (Q3 2025), -$1.94 million (Q2 2025) and -$1.94 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 242.71 Bn | 227.79 Bn | 2.30 Bn | -160.00 Mn |
| 2 | CrowdStrike Holdings | 226.31 Bn | 206.71 Bn | 1.10 Bn | - |
| 3 | Snowflake | 101.65 Bn | 88.97 Bn | 1.04 Bn | - |
| 4 | Fortinet | 89.39 Bn | 73.64 Bn | 1.64 Bn | - |
| 5 | Datadog | 64.14 Bn | 44.69 Bn | 959.92 Mn | - |
| 6 | Zscaler | 32.12 Bn | 18.27 Bn | 689.22 Mn | - |
| 7 | Okta | 30.80 Bn | 20.90 Bn | 641.00 Mn | - |
| 8 | MongoDB | 26.36 Bn | 16.83 Bn | 569.77 Mn | -1.79 Mn |
| 9 | Axon Enterprise | 25.15 Bn | 19.68 Bn | 546.45 Mn | - |
| 10 | Veritone | 49.13 Mn | -42.04 Mn | 15.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -74.02 Mn |
| Sep 30, 2025 | -1.94 Mn |
| Jun 30, 2025 | -1.94 Mn |
| Mar 31, 2025 | -1.94 Mn |
| Dec 31, 2024 | -32.45 Mn |
| Sep 30, 2024 | -1.94 Mn |
| Jun 30, 2017 | 6.00 Mn |
| Mar 31, 2017 | 2.00 Mn |
| Dec 31, 2016 | 10.00 Mn |
API Access
Veritone Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();