Modular Medical (MODD) Operating Expenses (2011 - 2026)
Modular Medical (MODD) reported Operating Expenses of $6.54 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.9% from $6.8 million a year earlier but up 15.0% from the prior quarter.
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Analysis
Modular Medical (MODD) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Modular Medical's Operating Expenses came in at $27.29 million, up 26.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $27.56 million, up 44.7% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 30.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $19.05 million in FY2025 (+8.7%), $17.53 million in FY2024 (+26.3%), $13.88 million in FY2023 (-7.0%) and $14.93 million in FY2022 (+103.4%).
- Five-year quarterly Operating Expenses spans a low of $3.36 million in fiscal Q3 2023 and a high of $7.83 million in fiscal Q2 2026.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 25.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 132.4%); the low point was fiscal Q3 2023 (a decline of 12.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $5.68 million (Q4 2026), $7.24 million (Q3 2026) and $7.83 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | 6.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.54 Mn |
| Mar 31, 2026 | 5.68 Mn |
| Dec 31, 2025 | 7.24 Mn |
| Sep 30, 2025 | 7.83 Mn |
| Jun 30, 2025 | 6.80 Mn |
| Mar 31, 2025 | 4.98 Mn |
| Dec 31, 2024 | 4.85 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 4.22 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 5.27 Mn |
| Sep 30, 2023 | 4.19 Mn |
| Jun 30, 2023 | 3.75 Mn |
| Mar 31, 2023 | 3.57 Mn |
| Dec 31, 2022 | 3.36 Mn |
| Sep 30, 2022 | 3.45 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | 4.03 Mn |
| Dec 31, 2021 | 3.83 Mn |
| Sep 30, 2021 | 3.69 Mn |
API Access
Modular Medical 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=MODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MODD", "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=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();