Modular Medical (MODD) Non-Current Assets (2021 - 2026)
Modular Medical (MODD) recorded Non-Current Assets of $7.41 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 26.0% from $5.88 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Modular Medical (MODD) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Modular Medical reported Non-Current Assets of $7.29 million, up 39.7% from FY2025.
- Annual Non-Current Assets has increased for four straight fiscal years, with a five-year compound annual growth rate of 64.8% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $5.22 million in FY2025 (+27.0%), $4.11 million in FY2024 (+28.5%), $3.2 million in FY2023 (+600.5%) and $456,652 in FY2022 (-23.8%).
- The fiscal Q1 2027 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q4 2021.
- On a year-over-year basis, Non-Current Assets has increased for 15 consecutive quarters, with growth averaging 33.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 731.5% in fiscal Q2 2024, against a decline of 23.8% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.29 million (Q4 2026), $6.79 million (Q3 2026) and $7.03 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | 7.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.41 Mn |
| Mar 31, 2026 | 7.29 Mn |
| Dec 31, 2025 | 6.79 Mn |
| Sep 30, 2025 | 7.03 Mn |
| Jun 30, 2025 | 5.88 Mn |
| Mar 31, 2025 | 5.22 Mn |
| Dec 31, 2024 | 4.82 Mn |
| Sep 30, 2024 | 4.60 Mn |
| Jun 30, 2024 | 4.67 Mn |
| Mar 31, 2024 | 4.11 Mn |
| Dec 31, 2023 | 3.86 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jun 30, 2023 | 3.43 Mn |
| Mar 31, 2023 | 3.20 Mn |
| Dec 31, 2022 | 767,721.00 |
| Sep 30, 2022 | 432,474.00 |
| Jun 30, 2022 | 482,312.00 |
| Mar 31, 2022 | 456,652.00 |
| Dec 31, 2021 | 483,188.00 |
| Sep 30, 2021 | 530,177.00 |
API Access
Modular Medical Non-Current 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=non-current-assets&ticker=MODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();