Waldencast (WALD) Operating Leases (2022 - 2025)
Waldencast's Operating Leases was $10.38 million in the quarter ended Dec 31, 2025, down 18.4% from $12.72 million a year earlier.
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Analysis
Waldencast (WALD) Operating Leases (2022 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2022 onward, Waldencast has reported Operating Leases for 7 quarters.
- Operating Leases has now declined for three consecutive years, with a three-year compound annual growth rate of -16.6% (years ended Dec 2022 to Dec 2025).
- In earlier years, Operating Leases was $12.72 million in the year ended Dec 31, 2024 (-18.1%), $15.53 million in the year ended Dec 31, 2023 (-13.1%) and $17.88 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.38 Mn |
| Jun 30, 2025 | 11.28 Mn |
| Dec 31, 2024 | 12.72 Mn |
| Jun 30, 2024 | 14.17 Mn |
| Dec 31, 2023 | 15.53 Mn |
| Jun 30, 2023 | 16.75 Mn |
| Dec 31, 2022 | 17.88 Mn |
API Access
Waldencast Operating Leases 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=operating-leases&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();