Waystar Holding (WAY) Price to Book (2024 - 2026)
Waystar Holding's (WAY) Price to Book stood at 0.99 in Q2 2026, down 55.9% from 2.24 a year earlier and down 15.8% from the prior quarter.
Analysis
Waystar Holding (WAY) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Waystar Holding's Price to Book came in at 1.62, down 21.1% from FY2024.
- Across earlier years, Price to Book came in at 2.05 in FY2024.
- The Q2 2026 figure is the lowest quarterly Price to Book since Q2 2024.
- On a year-over-year basis, Price to Book has declined for three consecutive quarters, with growth averaging 8.1% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at 1.17 (Q1 2026), 1.62 (Q4 2025) and 2.06 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Waystar Holding | 4.86 Bn | 4.01 Bn | 221.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.99 |
| Mar 31, 2026 | 1.17 |
| Dec 31, 2025 | 1.62 |
| Sep 30, 2025 | 2.06 |
| Jun 30, 2025 | 2.24 |
| Mar 31, 2025 | 2.07 |
| Dec 31, 2024 | 2.05 |
| Sep 30, 2024 | 1.57 |
| Jun 30, 2024 | 0.97 |
API Access
Waystar Holding Price to Book 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-book&ticker=WAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WAY", "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-book&ticker=WAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();