NutriBand (NTRB) Operating Expenses (2016 - 2026)
NutriBand (NTRB) reported Operating Expenses of $1.33 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 49.4% from $2.63 million a year earlier and down 21.3% from the prior quarter.
NutriBand (NTRB) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, NutriBand's Operating Expenses came in at $8.66 million, down 33.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $10.35 million, down 16.7% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 23.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $12.42 million in FY2025 (+78.6%), $6.96 million in FY2024 (+6.1%), $6.55 million in FY2023 (-13.0%) and $7.53 million in FY2022 (+112.8%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q1 2023.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with growth averaging 28.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 320.9%); the low point was fiscal Q4 2026 (a decline of 77.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.69 million (Q1 2027), $1.42 million (Q4 2026) and $4.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 618.58 Bn | 537.11 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 507.51 Bn | 480.62 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 364.48 Bn | 318.85 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.05 Bn | 261.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.61 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.60 Bn | 191.00 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.42 Bn | 165.62 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.40 Bn | 117.05 Bn | 10.94 Bn | 6.68 Bn |
| 10 | NutriBand | 71.11 Mn | 53.80 Mn | 181,874.00 | 1.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.33 Mn |
| Apr 30, 2026 | 1.69 Mn |
| Jan 31, 2026 | 1.42 Mn |
| Oct 31, 2025 | 4.23 Mn |
| Jul 31, 2025 | 2.63 Mn |
| Apr 30, 2025 | 2.08 Mn |
| Jan 31, 2025 | 6.20 Mn |
| Oct 31, 2024 | 2.07 Mn |
| Jul 31, 2024 | 1.85 Mn |
| Apr 30, 2024 | 2.30 Mn |
| Jan 31, 2024 | 1.83 Mn |
| Oct 31, 2023 | 2.15 Mn |
| Jul 31, 2023 | 1.48 Mn |
| Apr 30, 2023 | 1.49 Mn |
| Jan 31, 2023 | 2.21 Mn |
| Oct 31, 2022 | 1.69 Mn |
| Jul 31, 2022 | 1.49 Mn |
| Apr 30, 2022 | 1.16 Mn |
| Jan 31, 2022 | 4.27 Mn |
| Oct 31, 2021 | 1.82 Mn |
NutriBand Operating Expenses 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=operating-expenses&ticker=NTRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NTRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();