Waldencast (WALD) Operating Expenses (2021 - 2025)
Waldencast (WALD) reported Operating Expenses of $184,000 for the quarter ended Dec 31, 2025.
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Analysis
Waldencast (WALD) Operating Expenses (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Waldencast posted Operating Expenses of $400.56 million, up 60.0% from the prior year.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 44.0% (years ended Dec 2020 to Dec 2025).
- By year, Operating Expenses came in at $250.33 million in the year ended Dec 31, 2024 (+12.0%), $223.51 million in the year ended Dec 31, 2023 (+40.2%), $159.44 million in the year ended Dec 31, 2022 (+79.0%) and $89.06 million in the year ended Dec 31, 2021 (+37.4%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Operating Expenses since the quarter ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Waldencast | 92.40 Mn | 30.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 184,000.00 |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 88.10 Mn |
| Sep 30, 2021 | 645,123.00 |
| Jun 30, 2021 | 201,567.00 |
| Mar 31, 2021 | 117,515.00 |
API Access
Waldencast Operating Expenses 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-expenses&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();