Modular Medical (MODD) Cash & Equivalents (2017 - 2026)
Modular Medical (MODD) reported Cash & Equivalents of $3.92 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 47.9% from $7.52 million a year earlier and down 43.5% from the prior quarter.
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Analysis
Modular Medical (MODD) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Modular Medical posted Cash & Equivalents of $6.94 million, down 47.0% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 36.4% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $13.1 million in FY2025 (+41.8%), $9.23 million in FY2024 (+143.0%), $3.8 million in FY2023 (-58.1%) and $9.08 million in FY2022 (+518.1%).
- Five-year quarterly Cash & Equivalents spans a low of $204,098 in fiscal Q3 2022 and a high of $13.7 million in fiscal Q1 2023.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with growth averaging 22.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2022 (growth of 518.1%); the low point was fiscal Q3 2024 (a decline of 73.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $6.94 million (Q4 2026), $2.94 million (Q3 2026) and $5.32 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Modular Medical | 9.30 Mn | -9.81 Mn | - | 3.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 6.94 Mn |
| Dec 31, 2025 | 2.94 Mn |
| Sep 30, 2025 | 5.32 Mn |
| Jun 30, 2025 | 7.52 Mn |
| Mar 31, 2025 | 13.10 Mn |
| Dec 31, 2024 | 6.99 Mn |
| Sep 30, 2024 | 3.89 Mn |
| Jun 30, 2024 | 5.05 Mn |
| Mar 31, 2024 | 9.23 Mn |
| Dec 31, 2023 | 2.05 Mn |
| Sep 30, 2023 | 6.33 Mn |
| Jun 30, 2023 | 9.95 Mn |
| Mar 31, 2023 | 3.80 Mn |
| Dec 31, 2022 | 7.69 Mn |
| Sep 30, 2022 | 10.84 Mn |
| Jun 30, 2022 | 13.70 Mn |
| Mar 31, 2022 | 9.08 Mn |
| Dec 31, 2021 | 204,098.00 |
| Sep 30, 2021 | 798,161.00 |
API Access
Modular Medical Cash & Equivalents 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=cash-and-equivalents&ticker=MODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();