Waldencast (WALD) Change in Receivables (2021 - 2022)
Waldencast (WALD) reported Change in Receivables of -$2.7 million for the year ended Dec 31, 2025, compared with -$3.16 million a year earlier.
Waldencast (WALD) Change in Receivables (2021 - 2022) Analysis & Trends
Dating back to the year ended Dec 31, 2020, Waldencast's Change in Receivables record includes 6 years.
- Five-year annual Change in Receivables spans a low of -$5.06 million in the year ended Dec 31, 2021 and a high of $204,000 in the year ended Dec 31, 2022.
- According to Business Quant data, Change in Receivables came in at -$3.16 million in the year ended Dec 31, 2024, -$2.07 million in the year ended Dec 31, 2023, $204,000 in the year ended Dec 31, 2022 and -$5.06 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | -270.00 Mn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 59.00 Mn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | -28.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | -236.00 Mn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 19.60 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | -198,000.00 |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | -11.00 Mn |
| 10 | Waldencast | 106.09 Mn | 68.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -19.62 Mn |
| Mar 31, 2022 | 5.33 Mn |
| Jun 30, 2021 | -14.58 Mn |
| Mar 31, 2021 | 301,000.00 |
Waldencast Change in Receivables 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=change-in-receivables&ticker=WALD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();