Waldencast (WALD) Research & Development (2022)
Waldencast (WALD) reported Research & Development of $3.2 million for the year ended Dec 31, 2023, up 77.9% from $1.8 million a year earlier.
Analysis
Waldencast (WALD) Research & Development (2022) Analysis & Trends
Dating back to the year ended Dec 31, 2020, Waldencast's Research & Development record includes 4 years.
- Research & Development has a three-year compound annual growth rate of -10.0% (years ended Dec 2020 to Dec 2023).
- Five-year annual Research & Development spans a low of $1.8 million in the year ended Dec 31, 2022 and a high of $6.09 million in the year ended Dec 31, 2021.
- According to Business Quant data, Research & Development came in at $1.8 million in the year ended Dec 31, 2022 (-70.5%), $6.09 million in the year ended Dec 31, 2021 (+39.0%) and $4.38 million in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | - |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 32.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | - |
| 10 | Waldencast | 120.91 Mn | 83.49 Mn | - | - |
API Access
Waldencast Research & Development 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=research-and-development&ticker=WALD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();