Waldencast (WALD) EBITDA Margin (2021 - 2025)
Waldencast's EBITDA Margin came in at 36.19% for the quarter ended Dec 31, 2025, down 5.83 percentage points from 42.02% a year earlier.
Waldencast (WALD) EBITDA Margin (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Waldencast's EBITDA Margin was -57.33%, down 100.22 percentage points from the prior year.
- EBITDA Margin carries a five-year change of -72.95 percentage points (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA Margin was 42.89% in the year ended Dec 31, 2024 (-4.69 pp), 47.58% in the year ended Dec 31, 2023 (+155.90 pp), -108.32% in the year ended Dec 31, 2022 (-117.74 pp) and 9.42% in the year ended Dec 31, 2021 (-6.20 pp).
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly EBITDA Margin since the quarter ended Mar 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 22.46% |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 21.84% |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 21.34% |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 4.38% |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 19.10% |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 25.03% |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 28.34% |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 26.81% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 18.01% |
| 10 | Waldencast | 106.09 Mn | 68.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 36.19% |
| Mar 31, 2025 | 39.34% |
| Dec 31, 2024 | 42.02% |
| Sep 30, 2024 | 43.81% |
| Mar 31, 2024 | 44.72% |
| Dec 31, 2023 | 44.91% |
| Sep 30, 2023 | 47.04% |
| Mar 31, 2022 | -0.28% |
| Sep 30, 2021 | 4.99% |
Waldencast EBITDA Margin 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=ebitda-margin&ticker=WALD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();