Veea (VEEA) Debt Ratio (2022 - 2026)
Veea's (VEEA) Debt Ratio came in at 0.68 for Q2 2026, up 11.3% from 0.61 a year earlier and up 205.5% from the prior quarter.
Analysis
Veea (VEEA) Debt Ratio (2022 - 2026) Analysis & Trends
For FY2025, Veea's Debt Ratio stood at 0.62, up 3.4% from FY2024.
- In prior years, Veea's Debt Ratio was 0.60 in FY2024 (-41.9%) and 1.04 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Debt Ratio since Q1 2025.
- On a year-over-year basis, Debt Ratio increased in three of the last five quarters, with an average decline of 6.1%.
- According to Business Quant data, Debt Ratio for the three prior quarters was 0.22 (Q1 2026), 0.62 (Q4 2025) and 0.53 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 0.20 |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 0.23 |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 0.27 |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 0.09 |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 0.23 |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 0.06 |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 0.24 |
| 10 | Veea | 12.74 Mn | 9.05 Mn | 137,383.00 | 0.68 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.68 |
| Mar 31, 2026 | 0.22 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 0.53 |
| Jun 30, 2025 | 0.61 |
| Mar 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.60 |
| Sep 30, 2024 | 0.32 |
| Jun 30, 2024 | 0.03 |
| Mar 31, 2024 | 0.03 |
| Dec 31, 2023 | 1.04 |
| Sep 30, 2023 | 0.03 |
| Jun 30, 2023 | 0.02 |
| Mar 31, 2023 | 0.02 |
| Mar 31, 2022 | 0.00 |
API Access
Veea Debt Ratio 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=debt-ratio&ticker=VEEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "VEEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=VEEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();