Modular Medical (MODD) Accumulated Expenses (2011 - 2026)
Modular Medical (MODD) reported Accumulated Expenses of $607,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 11.2% from $546,000 a year earlier and up 24.4% from the prior quarter.
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Analysis
Modular Medical (MODD) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Modular Medical posted Accumulated Expenses of $488,000, down 3.2% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $504,000 in FY2025 (+80.0%), $280,000 in FY2024 (-17.4%), $339,000 in FY2023 (-35.4%) and $524,891 in FY2022 (+5.0%).
- Five-year quarterly Accumulated Expenses spans a low of $198,000 in fiscal Q1 2024 and a high of $1.12 million in fiscal Q3 2022.
- Year over year, Accumulated Expenses gained in seven of the last eight quarters, with growth averaging 42.9%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2025 (growth of 150.0%); the low point was fiscal Q3 2023 (a decline of 77.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $488,000 (Q4 2026), $707,000 (Q3 2026) and $715,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Modular Medical | 10.36 Mn | -8.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 607,000.00 |
| Mar 31, 2026 | 488,000.00 |
| Dec 31, 2025 | 707,000.00 |
| Sep 30, 2025 | 715,000.00 |
| Jun 30, 2025 | 546,000.00 |
| Mar 31, 2025 | 504,000.00 |
| Dec 31, 2024 | 451,000.00 |
| Sep 30, 2024 | 345,000.00 |
| Jun 30, 2024 | 495,000.00 |
| Mar 31, 2024 | 280,000.00 |
| Dec 31, 2023 | 373,000.00 |
| Sep 30, 2023 | 216,000.00 |
| Jun 30, 2023 | 198,000.00 |
| Mar 31, 2023 | 339,000.00 |
| Dec 31, 2022 | 255,545.00 |
| Sep 30, 2022 | 336,119.00 |
| Jun 30, 2022 | 353,586.00 |
| Mar 31, 2022 | 524,891.00 |
| Dec 31, 2021 | 1.12 Mn |
| Sep 30, 2021 | 678,797.00 |
API Access
Modular Medical Accumulated 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=accumulated-expenses&ticker=MODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();