Modular Medical (MODD) Capital Expenditures (2020 - 2026)
Modular Medical's Capital Expenditures was $688,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 26.3% from $934,000 a year earlier and down 31.5% from the prior quarter.
Modular Medical (MODD) Capital Expenditures (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Modular Medical's Capital Expenditures was $3.69 million through Jun 30, 2026, up 42.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.93 million, up 57.7% from FY2025.
- Capital Expenditures has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 104.6% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $2.49 million in FY2025 (+46.6%), $1.7 million in FY2024 (+3.8%), $1.64 million in FY2023 and $54,764 in FY2022 (-50.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Capital Expenditures since fiscal Q3 2025.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 68.3%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2024 (growth of 390.8%); the worst was fiscal Q2 2022 (a decline of 96.6%).
- Per Business Quant data, MODD's Capital Expenditures in the three fiscal quarters before Q1 2027 was $1.01 million (Q4 2026), $1.22 million (Q3 2026) and $771,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Modular Medical | 10.86 Mn | -8.25 Mn | - | 688,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 688,000.00 |
| Mar 31, 2026 | 1.01 Mn |
| Dec 31, 2025 | 1.22 Mn |
| Sep 30, 2025 | 771,000.00 |
| Jun 30, 2025 | 934,000.00 |
| Mar 31, 2025 | 948,000.00 |
| Dec 31, 2024 | 542,000.00 |
| Sep 30, 2024 | 161,000.00 |
| Jun 30, 2024 | 842,000.00 |
| Mar 31, 2024 | 483,000.00 |
| Dec 31, 2023 | 499,000.00 |
| Sep 30, 2023 | 345,000.00 |
| Jun 30, 2023 | 373,000.00 |
| Mar 31, 2023 | 1.07 Mn |
| Dec 31, 2022 | 492,000.00 |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 76,000.00 |
| Mar 31, 2022 | 31,985.00 |
| Sep 30, 2021 | 2,703.00 |
| Jun 30, 2021 | 20,076.00 |
Modular Medical Capital Expenditures 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=capital-expenditures&ticker=MODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();