Waldencast (WALD) Tax Provisions (2021 - 2025)
Waldencast (WALD) posted Tax Provisions of -$8.93 million for the quarter ended Dec 31, 2025, compared with $2.69 million a year earlier.
Analysis
Waldencast (WALD) Tax Provisions (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Waldencast's Tax Provisions came in at -$14.19 million.
- In prior years, Waldencast's Tax Provisions was $72,611 in the year ended Dec 31, 2024, -$4.64 million in the year ended Dec 31, 2023, -$5.8 million in the year ended Dec 31, 2022 and $9.6 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Tax Provisions in data going back to the quarter ended Sep 30, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 142.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Waldencast | 120.91 Mn | 83.49 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -8.93 Mn |
| Mar 31, 2025 | 877,341.19 |
| Dec 31, 2024 | 2.69 Mn |
| Sep 30, 2024 | -1.65 Mn |
| Mar 31, 2024 | -450,978.31 |
| Dec 31, 2023 | -635,366.71 |
| Sep 30, 2023 | -1.49 Mn |
| Jun 30, 2023 | -2.06 Mn |
| Dec 31, 2022 | -5.80 Mn |
| Mar 31, 2022 | -74,000.00 |
| Sep 30, 2021 | 164,000.00 |
API Access
Waldencast Tax Provisions 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=tax-provisions&ticker=WALD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();