Wewards (WEWA) Price to Sales (2021 - 2024)
Wewards' (WEWA) Price to Sales stood at 42265.25 in fiscal Q3 2024 (quarter ended Feb 29, 2024), down 1.3% from 42832.23 a year earlier but up 27.3% from the prior quarter.
Wewards (WEWA) Price to Sales (2021 - 2024) Analysis & Trends
For FY2022 (ended May 31, 2022), Wewards' Price to Sales came in at 495.01.
- Across earlier fiscal years, Price to Sales came in at 38.64 in FY2021 (-95.0%) and 774.00 in FY2020.
- Quarterly Price to Sales has ranged from 107.22 in fiscal Q3 2021 to 52361.29 in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Price to Sales has declined for three consecutive quarters, with growth averaging 43.0% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at 33203.33 (Q2 2024), 27051.65 (Q1 2024) and 22520.13 (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | PayPal Holdings | 50.15 Bn | 8.38 Bn | - |
| 2 | Block | 46.06 Bn | 17.35 Bn | 3.17 Bn |
| 3 | Coinbase Global | 43.93 Bn | 739.71 Mn | - |
| 4 | Corpay | 26.76 Bn | 16.65 Bn | - |
| 5 | Fiserv | 26.33 Bn | 23.01 Bn | 2.90 Bn |
| 6 | Global Payments | 22.33 Bn | 118.39 Mn | 2.03 Bn |
| 7 | Guidewire Software | 15.91 Bn | 12.48 Bn | 269.68 Mn |
| 8 | Bitmine Immersion Technologies | 12.50 Bn | 9.88 Bn | 40.81 Mn |
| 9 | Jack Henry & Associates | 11.56 Bn | 11.47 Bn | 273.85 Mn |
| 10 | Wewards | 214.97 Mn | 214.97 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 29, 2024 | 42,265.25 |
| Nov 30, 2023 | 33,203.33 |
| Aug 31, 2023 | 27,051.65 |
| May 31, 2023 | 22,520.13 |
| Feb 28, 2023 | 42,832.23 |
| Nov 30, 2022 | 52,361.29 |
| Aug 31, 2022 | 45,622.92 |
| May 31, 2022 | 495.01 |
| Feb 28, 2022 | 338.71 |
| Nov 30, 2021 | 234.63 |
| Aug 31, 2021 | 179.64 |
| May 31, 2021 | 141.25 |
| Feb 28, 2021 | 107.22 |
Wewards Price to Sales 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=price-to-sales&ticker=WEWA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "WEWA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=WEWA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();