Waldencast (WALD) Cash from Financing Activities (2021 - 2022)
Waldencast (WALD) recorded Cash from Financing Activities of -$47.22 million in the year ended Dec 31, 2025, compared with $5.58 million a year earlier.
Waldencast (WALD) Cash from Financing Activities (2021 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2020, Waldencast's Cash from Financing Activities history includes 6 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Cash from Financing Activities in data going back to the year ended Dec 31, 2020.
- Per Business Quant data, WALD's Cash from Financing Activities was $5.58 million in the year ended Dec 31, 2024 (-87.4%), $44.33 million in the year ended Dec 31, 2023 (-93.0%), $629.47 million in the year ended Dec 31, 2022 and $5.16 million in the year ended Dec 31, 2021 (-63.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Financing (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | -6.31 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | -851.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | -587.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -30.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 305.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | -206.80 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 811.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | -55.46 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | -50.00 Mn |
| 10 | Waldencast | 98.10 Mn | 60.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 4.57 Mn |
| Mar 31, 2022 | -688,000.00 |
| Dec 31, 2021 | -341.34 Mn |
| Sep 30, 2021 | 339.54 Mn |
| Jun 30, 2021 | -6.19 Mn |
| Mar 31, 2021 | 13.15 Mn |
Waldencast Cash from Financing Activities 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=cash-from-financing-activities&ticker=WALD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-financing-activities", "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=cash-from-financing-activities&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();