Natures Sunshine Products (NATR) Other Non-Current Liabilities (2010 - 2026)
Natures Sunshine Products' Other Non-Current Liabilities was $2.52 million in Q2 2026, up 52.9% from $1.65 million a year earlier but down 3.4% from the prior quarter.
Natures Sunshine Products (NATR) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Natures Sunshine Products came in at $2.91 million, up 116.4% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $1.35 million in FY2024 (+80.1%), $747,000 in FY2023 (-29.1%), $1.05 million in FY2022 (-10.5%) and $1.18 million in FY2021 (-10.0%).
- Quarterly Other Non-Current Liabilities has moved between $747,000 (Q4 2023) and $2.91 million (Q4 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for nine straight quarters, with growth averaging 58.6% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2025 (growth of 116.4%); the worst was Q4 2023 (a decline of 29.1%).
- Per Business Quant data, NATR's Other Non-Current Liabilities in the three quarters before Q2 2026 was $2.61 million (Q1 2026), $2.91 million (Q4 2025) and $2.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 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 |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn |
| 10 | Natures Sunshine Products | 219.80 Mn | -139.73 Mn | 86.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.87 Mn |
| Mar 31, 2026 | 4.31 Mn |
| Dec 31, 2025 | 4.47 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.33 Mn |
| Mar 31, 2025 | 3.14 Mn |
| Dec 31, 2024 | 2.89 Mn |
| Sep 30, 2024 | 2.98 Mn |
| Jun 30, 2024 | 3.23 Mn |
| Mar 31, 2024 | 2.41 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 2.03 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 1.97 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 1.84 Mn |
| Mar 31, 2022 | 2.05 Mn |
| Dec 31, 2021 | 2.14 Mn |
| Sep 30, 2021 | 2.11 Mn |
Natures Sunshine Products Other 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=other-non-current-liabilities&ticker=NATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();