Natures Sunshine Products (NATR) Return on Sales [ROS] (2009 - 2026)
Natures Sunshine Products (NATR) recorded Return on Sales [ROS] of 4.53% in Q3 2026, down 2.46 percentage points from 6.99% a year earlier and down 0.16 percentage points from the prior quarter.
Natures Sunshine Products (NATR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Natures Sunshine Products' Return on Sales [ROS] came in at 5.34% as of Sep 30, 2026, up 0.28 percentage points year-over-year; for FY2025, it came in at 5.15%, up 0.73 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, though with a five-year change of -0.42 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 4.42% in FY2024 (+0.21 pp), 4.21% in FY2023 (+0.36 pp), 3.85% in FY2022 (-3.95 pp) and 7.81% in FY2021 (+2.23 pp).
- Quarterly Return on Sales [ROS] has ranged from 0.16% in Q1 2023 to 7.77% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.27 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.19 percentage points in Q4 2021, against a drop of 6.27 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.69% (Q2 2026), 7.77% (Q1 2026) and 4.30% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 10.98% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 12.48% |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 10.38% |
| 10 | Natures Sunshine Products | 190.03 Mn | -163.32 Mn | 84.96 Mn | 4.53% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.53% |
| Jun 30, 2026 | 4.69% |
| Mar 31, 2026 | 7.77% |
| Dec 31, 2025 | 4.30% |
| Sep 30, 2025 | 6.99% |
| Jun 30, 2025 | 3.72% |
| Mar 31, 2025 | 5.45% |
| Dec 31, 2024 | 3.85% |
| Sep 30, 2024 | 4.61% |
| Jun 30, 2024 | 5.10% |
| Mar 31, 2024 | 4.17% |
| Dec 31, 2023 | 5.24% |
| Sep 30, 2023 | 5.24% |
| Jun 30, 2023 | 6.04% |
| Mar 31, 2023 | 0.16% |
| Dec 31, 2022 | 4.07% |
| Sep 30, 2022 | 4.80% |
| Jun 30, 2022 | 5.53% |
| Mar 31, 2022 | 1.18% |
| Dec 31, 2021 | 6.40% |
Natures Sunshine Products Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();