Waldencast (WALD) Net Cash Flow (2021 - 2022)
Waldencast's Net Cash Flow was $16.19 million in the year ended Dec 31, 2025, compared with -$6.16 million a year earlier.
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Analysis
Waldencast (WALD) Net Cash Flow (2021 - 2022) Analysis & Trends
From the year ended Dec 31, 2020 onward, Waldencast has reported Net Cash Flow for 6 years.
- Net Cash Flow shows a five-year compound annual growth rate of 25.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the highest annual Net Cash Flow in data going back to the year ended Dec 31, 2020.
- Per Business Quant data, Net Cash Flow in earlier years was -$6.16 million in the year ended Dec 31, 2024, $12.56 million in the year ended Dec 31, 2023 (+24.1%), $10.12 million in the year ended Dec 31, 2022 (+106.4%) and $4.9 million in the year ended Dec 31, 2021 (-5.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | -2.37 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 22.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 361.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 23.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 803.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | -248.40 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | -1.04 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 54.53 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | -5.00 Mn |
| 10 | Waldencast | 120.91 Mn | 83.49 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -6.75 Mn |
| Mar 31, 2022 | 702,000.00 |
| Dec 31, 2021 | 4.57 Mn |
| Sep 30, 2021 | -16.28 Mn |
| Jun 30, 2021 | -3.07 Mn |
| Mar 31, 2021 | 19.69 Mn |
API Access
Waldencast Net Cash Flow 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=net-cash-flow&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();