Waldencast (WALD) EV to EBITDA (2022 - 2025)
Waldencast's (WALD) EV to EBITDA came in at 2.66 for the quarter ended Dec 31, 2025, down 53.1% from 5.67 a year earlier.
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Analysis
Waldencast (WALD) EV to EBITDA (2022 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, EV to EBITDA at Waldencast was 2.16, down 56.1% year-over-year; for the year ended Dec 31, 2024, it came in at 6.35, down 70.0% from the prior year.
- In prior years, Waldencast's EV to EBITDA was 21.15 in the year ended Dec 31, 2023 and 31.03 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly EV to EBITDA in data going back to the quarter ended Mar 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 | 2.40 |
| Mar 31, 2025 | 3.78 |
| Dec 31, 2024 | 5.67 |
| Sep 30, 2024 | 4.82 |
| Mar 31, 2024 | 12.95 |
| Dec 31, 2023 | 33.07 |
| Sep 30, 2023 | 32.03 |
| Mar 31, 2022 | 41.80 |
API Access
Waldencast EV to EBITDA 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=ev-to-ebitda&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();