Verses AI (VRSSF) Change in Accured Expenses (2024 - 2025)
Verses AI's Change in Accured Expenses was $1.58 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), compared with -$822,471 a year earlier.
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Analysis
Verses AI (VRSSF) Change in Accured Expenses (2024 - 2025) Analysis & Trends
On a trailing twelve-month basis, Verses AI's Change in Accured Expenses was $52,302 through Dec 31, 2025; for FY2025 (ended Mar 31, 2025), it came in at -$792,865.
- In earlier fiscal years, Change in Accured Expenses was $1.62 million in FY2024.
- The fiscal Q3 2026 figure marks the highest quarterly Change in Accured Expenses since fiscal Q1 2025.
- Per Business Quant data, VRSSF's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was -$656,214 (Q2 2026), $212,509 (Q1 2026) and -$1.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Verses AI | 3.17 Mn | 3.17 Mn | 125,380.00 | 1.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.58 Mn |
| Sep 30, 2025 | -656,214.00 |
| Jun 30, 2025 | 212,509.00 |
| Mar 31, 2025 | -1.08 Mn |
| Dec 31, 2024 | -822,471.00 |
| Sep 30, 2024 | -664,565.00 |
| Jun 30, 2024 | 1.78 Mn |
API Access
Verses AI Change in Accured 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=change-in-accured-expenses&ticker=VRSSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VRSSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();