Waldencast (WALD) Long-Term Debt Repayments (2021 - 2022)
Waldencast's Long-Term Debt Repayments was -$405.34 million in the year ended Dec 31, 2025, compared with -$8.75 million a year earlier.
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Analysis
Waldencast (WALD) Long-Term Debt Repayments (2021 - 2022) Analysis & Trends
From the year ended Dec 31, 2020 onward, Waldencast has reported Long-Term Debt Repayments for 6 years.
- The figure for the year ended Dec 31, 2025 marks the lowest annual Long-Term Debt Repayments in data going back to the year ended Dec 31, 2020.
- Per Business Quant data, Long-Term Debt Repayments in earlier years was -$8.75 million in the year ended Dec 31, 2024, -$8.78 million in the year ended Dec 31, 2023, $4.35 million in the year ended Dec 31, 2022 and -$72.46 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | - |
| 10 | Waldencast | 96.96 Mn | 34.99 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -687,000.00 |
| Mar 31, 2022 | -688,000.00 |
| Jun 30, 2021 | -275,000.00 |
| Mar 31, 2021 | -71.63 Mn |
API Access
Waldencast Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();