Modular Medical (MODD) Return on Equity [ROE] (2020 - 2026)
Modular Medical (MODD) reported Return on Equity [ROE] of -236.72% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 88.09 percentage points from -148.62% a year earlier but up 64.18 percentage points from the prior quarter.
Modular Medical (MODD) Return on Equity [ROE] (2020 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Modular Medical posted Return on Equity [ROE] of -188.05%, down 56.47 percentage points from FY2025.
- Return on Equity [ROE] has a four-year change of +304.76 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Equity [ROE] came in at -131.58% in FY2025 (+78.76 pp), -210.34% in FY2024 (-10.83 pp), -199.51% in FY2023 (+293.30 pp) and -492.81% in FY2022.
- Five-year quarterly Return on Equity [ROE] spans a low of -5989.56% in fiscal Q4 2022 and a high of -135.29% in fiscal Q2 2023.
- Year over year, Return on Equity [ROE] has now declined in each of the last three quarters, with an average year-over-year change of -36.55 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was fiscal Q4 2023 (a gain of 5777.68 percentage points); the low point was fiscal Q4 2026 (a drop of 162.58 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -300.89% (Q4 2026), -366.98% (Q3 2026) and -236.03% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 13.36% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.39% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 7.56% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 17.60% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.44% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -3.90% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 14.31% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 9.53% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.88% |
| 10 | Modular Medical | 11.14 Mn | -7.97 Mn | - | -236.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -236.72% |
| Mar 31, 2026 | -300.89% |
| Dec 31, 2025 | -366.98% |
| Sep 30, 2025 | -236.03% |
| Jun 30, 2025 | -148.62% |
| Mar 31, 2025 | -138.32% |
| Dec 31, 2024 | -212.61% |
| Sep 30, 2024 | -250.82% |
| Jun 30, 2024 | -183.65% |
| Mar 31, 2024 | -227.36% |
| Dec 31, 2023 | -284.72% |
| Sep 30, 2023 | -152.49% |
| Jun 30, 2023 | -169.91% |
| Mar 31, 2023 | -211.88% |
| Dec 31, 2022 | -158.59% |
| Sep 30, 2022 | -135.29% |
| Jun 30, 2022 | -155.22% |
| Mar 31, 2022 | -5,989.56% |
| Dec 31, 2020 | -1,236.86% |
| Sep 30, 2020 | -221.57% |
Modular Medical Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=MODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=MODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();