Natures Sunshine Products (NATR) Total Liabilities (2010 - 2026)
Natures Sunshine Products (NATR) reported Total Liabilities of $96.55 million for Q3 2026, down 1.6% from $98.1 million a year earlier but up 6.7% from the prior quarter.
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Analysis
Natures Sunshine Products (NATR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Natures Sunshine Products posted Total Liabilities of $99.59 million, up 24.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $79.86 million in FY2024 (-11.5%), $90.23 million in FY2023 (+9.1%), $82.73 million in FY2022 (-15.1%) and $97.47 million in FY2021 (+5.6%).
- Five-year quarterly Total Liabilities spans a low of $79.43 million in Q2 2024 and a high of $99.59 million in Q4 2025.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 6.6%.
- The high point for year-over-year Total Liabilities in five years was Q4 2025 (growth of 24.7%); the low point was Q4 2022 (a decline of 15.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $90.51 million (Q2 2026), $94.54 million (Q1 2026) and $99.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 2.78 Bn |
| 10 | Natures Sunshine Products | 195.86 Mn | -157.49 Mn | 84.96 Mn | 96.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.55 Mn |
| Jun 30, 2026 | 90.51 Mn |
| Mar 31, 2026 | 94.54 Mn |
| Dec 31, 2025 | 99.59 Mn |
| Sep 30, 2025 | 98.10 Mn |
| Jun 30, 2025 | 91.19 Mn |
| Mar 31, 2025 | 85.60 Mn |
| Dec 31, 2024 | 79.86 Mn |
| Sep 30, 2024 | 82.72 Mn |
| Jun 30, 2024 | 79.43 Mn |
| Mar 31, 2024 | 87.56 Mn |
| Dec 31, 2023 | 90.23 Mn |
| Sep 30, 2023 | 87.90 Mn |
| Jun 30, 2023 | 86.75 Mn |
| Mar 31, 2023 | 87.87 Mn |
| Dec 31, 2022 | 82.73 Mn |
| Sep 30, 2022 | 81.75 Mn |
| Jun 30, 2022 | 88.58 Mn |
| Mar 31, 2022 | 88.88 Mn |
| Dec 31, 2021 | 97.47 Mn |
API Access
Natures Sunshine Products Total 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-liabilities&ticker=NATR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NATR", "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-liabilities&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();