Natures Sunshine Products (NATR) Total Non-Current Liabilities (2010 - 2026)
Natures Sunshine Products (NATR) reported Total Non-Current Liabilities of $87.99 million for Q2 2026, down 1.7% from $89.55 million a year earlier and down 4.3% from the prior quarter.
Natures Sunshine Products (NATR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Natures Sunshine Products posted Total Non-Current Liabilities of $96.68 million, up 23.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $78.52 million in FY2024 (-12.3%), $89.49 million in FY2023 (+9.6%), $81.68 million in FY2022 (-15.2%) and $96.29 million in FY2021 (+5.9%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2025 (growth of 23.1%); the low point was Q4 2022 (a decline of 15.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $91.94 million (Q1 2026), $96.68 million (Q4 2025) and $95.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Natures Sunshine Products | 223.52 Mn | -136.00 Mn | 86.17 Mn | 87.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.99 Mn |
| Mar 31, 2026 | 91.94 Mn |
| Dec 31, 2025 | 96.68 Mn |
| Sep 30, 2025 | 95.96 Mn |
| Jun 30, 2025 | 89.55 Mn |
| Mar 31, 2025 | 84.02 Mn |
| Dec 31, 2024 | 78.52 Mn |
| Sep 30, 2024 | 81.28 Mn |
| Jun 30, 2024 | 78.03 Mn |
| Mar 31, 2024 | 86.58 Mn |
| Dec 31, 2023 | 89.49 Mn |
| Sep 30, 2023 | 86.78 Mn |
| Jun 30, 2023 | 85.71 Mn |
| Mar 31, 2023 | 86.83 Mn |
| Dec 31, 2022 | 81.68 Mn |
| Sep 30, 2022 | 80.70 Mn |
| Jun 30, 2022 | 87.48 Mn |
| Mar 31, 2022 | 87.72 Mn |
| Dec 31, 2021 | 96.29 Mn |
| Sep 30, 2021 | 90.96 Mn |
Natures Sunshine Products 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=NATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();