Waldencast (WALD) Selling, General & Administrative (2022)
Waldencast's Selling, General & Administrative came in at $247.98 million for the year ended Dec 31, 2025, up 1.1% from $245.3 million a year earlier.
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Analysis
Waldencast (WALD) Selling, General & Administrative (2022) Analysis & Trends
Going back to the year ended Dec 31, 2020, Waldencast's Selling, General & Administrative data covers 6 years.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 32.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Selling, General & Administrative in data going back to the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Selling, General & Administrative at $245.3 million in the year ended Dec 31, 2024 (+9.7%), $223.51 million in the year ended Dec 31, 2023 (+146.4%), $90.72 million in the year ended Dec 31, 2022 (+9.3%) and $82.97 million in the year ended Dec 31, 2021 (+37.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Waldencast | 98.10 Mn | 60.68 Mn | - | - |
API Access
Waldencast Selling, General & Administrative 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=selling-general-and-administrative&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();