Versus Systems (VS) Cost of Revenue (2023 - 2026)
Versus Systems' Cost of Revenue was -$1.49 million in Q2 2026, compared with $8,222 a year earlier.
Analysis
Versus Systems (VS) Cost of Revenue (2023 - 2026) Analysis & Trends
For FY2025, Cost of Revenue at Versus Systems came in at $16,446, down 59.2% from FY2024.
- Cost of Revenue has now declined for three consecutive years, with a three-year compound annual growth rate of -70.1% (FY2022 to FY2025).
- In earlier years, Cost of Revenue was $40,277 in FY2024 (-60.9%), $103,067 in FY2023 (-83.3%) and $617,049 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Cost of Revenue in data going back to Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Versus Systems | 5.46 Mn | -6.55 Mn | 1.49 Mn | -1.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.49 Mn |
| Jun 30, 2025 | 8,222.00 |
| Mar 31, 2025 | 8,223.00 |
| Jun 30, 2024 | 16,231.00 |
| Mar 31, 2024 | 24,046.00 |
| Dec 31, 2023 | 23,570.00 |
| Sep 30, 2023 | 23,570.00 |
| Jun 30, 2023 | 32,357.00 |
| Mar 31, 2023 | 23,570.00 |
API Access
Versus Systems Cost of Revenue 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=cost-of-revenue&ticker=VS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "VS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=VS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();