Verses AI (VRSSF) Other Accumulated Expenses (2024 - 2025)
Verses AI's Other Accumulated Expenses was $9.64 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 2.5% from the prior quarter.
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Analysis
Verses AI (VRSSF) Other Accumulated Expenses (2024 - 2025) Analysis & Trends
At the end of FY2025 (ended Mar 31, 2025), Other Accumulated Expenses at Verses AI came in at $8.95 million, down 9.8% from FY2024.
- In earlier fiscal years, Other Accumulated Expenses was $9.92 million in FY2024.
- The fiscal Q3 2026 figure marks the highest quarterly Other Accumulated Expenses since fiscal Q4 2024.
- Per Business Quant data, VRSSF's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $9.4 million (Q2 2026), $9.17 million (Q1 2026) and $8.95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Verses AI | 3.17 Mn | 3.17 Mn | 125,380.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.64 Mn |
| Sep 30, 2025 | 9.40 Mn |
| Jun 30, 2025 | 9.17 Mn |
| Mar 31, 2025 | 8.95 Mn |
| Mar 31, 2024 | 9.92 Mn |
API Access
Verses AI Other Accumulated Expenses 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=other-accumulated-expenses&ticker=VRSSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=VRSSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();