Waldencast (WALD) Change in Inventory (2021 - 2022)
Waldencast's Change in Inventory came in at -$867,000 for the year ended Dec 31, 2025, compared with $2.58 million a year earlier.
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Analysis
Waldencast (WALD) Change in Inventory (2021 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2020, Waldencast's Change in Inventory data covers 6 years.
- The five-year range for annual Change in Inventory is -$6.38 million (the year ended Dec 31, 2022) to $2.58 million (the year ended Dec 31, 2024).
- Per Business Quant, earlier years put Change in Inventory at $2.58 million in the year ended Dec 31, 2024, -$1.3 million in the year ended Dec 31, 2023, -$6.38 million in the year ended Dec 31, 2022 and -$6.01 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 295.00 Mn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 69.00 Mn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | 84.00 Mn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 50.00 Mn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 20.30 Mn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 7.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 26.52 Mn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 80.00 Mn |
| 10 | Waldencast | 92.40 Mn | 30.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -3.37 Mn |
| Mar 31, 2022 | -4.88 Mn |
| Jun 30, 2021 | 1.54 Mn |
| Mar 31, 2021 | 2.27 Mn |
API Access
Waldencast Change in Inventory 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-inventory&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();