Waldencast (WALD) Total Non-Current Liabilities (2021 - 2026)
Waldencast (WALD) posted Total Non-Current Liabilities of $249.03 million for the quarter ended Jun 30, 2026, down 68.7% from $795.31 million a year earlier.
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Analysis
Waldencast (WALD) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Waldencast's Total Non-Current Liabilities came in at $239.17 million, down 22.5% from the prior year.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of 6.8% (years ended Dec 2021 to Dec 2025).
- In prior years, Waldencast's Total Non-Current Liabilities was $308.52 million in the year ended Dec 31, 2024 (+26.0%), $244.79 million in the year ended Dec 31, 2023 (-10.0%), $271.87 million in the year ended Dec 31, 2022 (+47.7%) and $184.04 million in the year ended Dec 31, 2021.
- Quarterly Total Non-Current Liabilities has run from a low of $156.66 million in the quarter ended Jun 30, 2022 to a high of $795.31 million in the quarter ended Jun 30, 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last four quarters, with growth averaging 36.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was the quarter ended Jun 30, 2025, with growth of 224.3%; the weakest was the quarter ended Jun 30, 2026, with a decline of 68.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Waldencast | 92.40 Mn | 30.43 Mn | - | 249.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249.03 Mn |
| Dec 31, 2025 | 202.74 Mn |
| Jun 30, 2025 | 246.25 Mn |
| Dec 31, 2024 | 240.80 Mn |
| Jun 30, 2024 | 245.13 Mn |
| Dec 31, 2023 | 244.74 Mn |
| Jun 30, 2023 | 2.02 Mn |
| Dec 31, 2022 | 271.87 Mn |
| Jun 30, 2022 | 156.66 Mn |
| Mar 31, 2022 | 343.55 Mn |
| Dec 31, 2021 | 144.78 Mn |
| Sep 30, 2021 | 343.03 Mn |
| Jun 30, 2021 | 337.94 Mn |
| Mar 31, 2021 | 339.13 Mn |
API Access
Waldencast Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WALD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WALD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();