Verses AI (VRSSF) Capital Expenditures (2024 - 2025)
Verses AI's Capital Expenditures came in at $24,796 for fiscal Q3 2026 (quarter ended Dec 31, 2025), compared with $1.00 a year earlier and up 2.3% from the prior quarter.
Verses AI (VRSSF) Capital Expenditures (2024 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Verses AI reported Capital Expenditures of $65,284; for FY2025 (ended Mar 31, 2025), it was $30,579, down 83.5% from FY2024.
- Going back by fiscal year, Capital Expenditures was $185,155 in FY2024.
- Business Quant data shows VRSSF's Capital Expenditures at $24,245 (Q2 2026), $16,244 (Q1 2026) and -$1.00 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Verses AI | 3.17 Mn | 3.17 Mn | 125,380.00 | 24,796.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 24,796.00 |
| Sep 30, 2025 | 24,245.00 |
| Jun 30, 2025 | 16,244.00 |
| Mar 31, 2025 | -1.00 |
| Dec 31, 2024 | 1.00 |
| Sep 30, 2024 | 6,246.00 |
| Jun 30, 2024 | 24,333.00 |
Verses AI Capital Expenditures 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=capital-expenditures&ticker=VRSSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "VRSSF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=VRSSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();