Modular Medical (MODD) Assets (2021 - 2026)
Modular Medical (MODD) reported Assets of $12.25 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 13.5% from $14.17 million a year earlier and down 17.4% from the prior quarter.
Modular Medical (MODD) Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Modular Medical posted Assets of $14.83 million, down 20.8% from FY2025.
- Assets has a five-year compound annual growth rate of 45.8% (FY2021 to FY2026).
- By fiscal year, Assets came in at $18.74 million in FY2025 (+35.7%), $13.81 million in FY2024 (+90.6%), $7.25 million in FY2023 (-26.4%) and $9.85 million in FY2022 (+338.0%).
- Five-year quarterly Assets spans a low of $751,839 in fiscal Q3 2022 and a high of $18.74 million in fiscal Q4 2025.
- Year over year, Assets has now declined in each of the last three quarters, with growth averaging 19.7% over the last eight quarters.
- The high point for year-over-year Assets in five years was fiscal Q2 2023 (growth of 731.9%); the low point was fiscal Q3 2024 (a decline of 29.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $14.83 million (Q4 2026), $10.26 million (Q3 2026) and $12.97 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | 12.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.25 Mn |
| Mar 31, 2026 | 14.83 Mn |
| Dec 31, 2025 | 10.26 Mn |
| Sep 30, 2025 | 12.97 Mn |
| Jun 30, 2025 | 14.17 Mn |
| Mar 31, 2025 | 18.74 Mn |
| Dec 31, 2024 | 12.15 Mn |
| Sep 30, 2024 | 8.77 Mn |
| Jun 30, 2024 | 10.07 Mn |
| Mar 31, 2024 | 13.81 Mn |
| Dec 31, 2023 | 6.20 Mn |
| Sep 30, 2023 | 10.06 Mn |
| Jun 30, 2023 | 13.67 Mn |
| Mar 31, 2023 | 7.25 Mn |
| Dec 31, 2022 | 8.74 Mn |
| Sep 30, 2022 | 11.44 Mn |
| Jun 30, 2022 | 14.44 Mn |
| Mar 31, 2022 | 9.85 Mn |
| Dec 31, 2021 | 751,839.00 |
| Sep 30, 2021 | 1.37 Mn |
Modular Medical Assets 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=assets&ticker=MODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();