Waldencast (WALD) EBITDA (2021 - 2025)
Waldencast's EBITDA was $26.06 million in the quarter ended Dec 31, 2025, up 31.6% from $19.81 million a year earlier.
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Analysis
Waldencast (WALD) EBITDA (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, EBITDA at Waldencast came in at -$155.98 million.
- In earlier years, EBITDA was $77.53 million in the year ended Dec 31, 2024 (+12.4%), $68.97 million in the year ended Dec 31, 2023, -$100.06 million in the year ended Dec 31, 2022 and $13.42 million in the year ended Dec 31, 2021 (-9.0%).
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly EBITDA since the quarter ended Sep 30, 2024.
- Compared with a year earlier, EBITDA was higher in three of the last four quarters, with growth averaging 14.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 129.02 Mn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Waldencast | 92.40 Mn | 30.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 26.06 Mn |
| Sep 30, 2024 | 30.76 Mn |
| Sep 30, 2023 | 25.25 Mn |
| Mar 31, 2023 | 30.22 Mn |
| Mar 31, 2022 | 1.63 Mn |
| Sep 30, 2021 | 2.92 Mn |
| Jun 30, 2021 | 3.64 Mn |
| Mar 31, 2021 | 3.52 Mn |
API Access
Waldencast 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=ebitda&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();