NutriBand (NTRB) Return on Sales [ROS] (2018 - 2026)
NutriBand's Return on Sales [ROS] came in at -203.57% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 118.26 percentage points from -321.83% a year earlier and up 85.85 percentage points from the prior quarter.
NutriBand (NTRB) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, NutriBand reported Return on Sales [ROS] of -435.58%, down 32.08 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -408.41%, up 72.29 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -133.33 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -480.70% in FY2025 (-247.07 pp), -233.63% in FY2024 (-18.44 pp), -215.19% in FY2023 (+214.49 pp) and -429.68% in FY2022 (-154.60 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q2 2024.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -54.54 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2026 (a gain of 610.57 percentage points), and the weakest in fiscal Q3 2026 (a drop of 900.35 percentage points).
- Business Quant data shows NTRB's Return on Sales [ROS] at -289.42% (Q1 2027), -254.78% (Q4 2026) and -1121.30% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | NutriBand | 88.49 Mn | 71.18 Mn | 181,874.00 | -203.57% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -203.57% |
| Apr 30, 2026 | -289.42% |
| Jan 31, 2026 | -254.78% |
| Oct 31, 2025 | -1,121.30% |
| Jul 31, 2025 | -321.83% |
| Apr 30, 2025 | -211.78% |
| Jan 31, 2025 | -865.34% |
| Oct 31, 2024 | -220.94% |
| Jul 31, 2024 | -318.35% |
| Apr 30, 2024 | -462.50% |
| Jan 31, 2024 | -249.01% |
| Oct 31, 2023 | -402.84% |
| Jul 31, 2023 | -125.65% |
| Apr 30, 2023 | -213.42% |
| Jan 31, 2023 | -319.13% |
| Oct 31, 2022 | -173.38% |
| Jul 31, 2022 | -226.73% |
| Apr 30, 2022 | -143.51% |
| Jan 31, 2022 | -767.47% |
| Oct 31, 2021 | -543.55% |
NutriBand 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=NTRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NTRB", "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=NTRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();