Waldencast (WALD) Price to Book (2022 - 2026)
Waldencast's (WALD) Price to Book came in at 0.51 for the quarter ended Jun 30, 2026, down 100.0% from 267774.57 a year earlier.
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Analysis
Waldencast (WALD) Price to Book (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Waldencast's Price to Book stood at 0.43, down 35.4% from the prior year.
- In prior years, Waldencast's Price to Book was 0.66 in the year ended Dec 31, 2024 (-61.8%), 1.74 in the year ended Dec 31, 2023 (+42.3%) and 1.22 in the year ended Dec 31, 2022.
- Quarterly Price to Book has run from a low of 0.43 in the quarter ended Dec 31, 2025 to a high of 267774.57 in the quarter ended Jun 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Waldencast | 98.10 Mn | 60.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.51 |
| Dec 31, 2025 | 0.46 |
| Jun 30, 2025 | 267,774.57 |
| Dec 31, 2024 | 0.66 |
| Jun 30, 2024 | 0.58 |
| Dec 31, 2023 | 1.74 |
| Jun 30, 2023 | 1.08 |
| Dec 31, 2022 | 1.22 |
| Jun 30, 2022 | 4.91 |
API Access
Waldencast 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=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WALD", "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=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();