Medinotec (MDNC) Selling, General & Administrative (2022 - 2026)
Medinotec's Selling, General & Administrative was $594,286 in fiscal Q1 2027 (quarter ended May 31, 2026), up 6.6% from $557,418 a year earlier and up 1.3% from the prior quarter.
Medinotec (MDNC) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medinotec's Selling, General & Administrative was $2.34 million through May 31, 2026, up 43.8% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $2.32 million, up 71.8% from FY2025.
- Selling, General & Administrative shows a four-year compound annual growth rate of 46.9% (FY2022 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $1.35 million in FY2025, -$1.67 million in FY2024, -$648,172 in FY2023 and $498,241 in FY2022.
- Quarterly Selling, General & Administrative has moved between -$2.62 million (fiscal Q4 2024) and $922,380 (fiscal Q4 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 43.6% over the last six quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2024 (growth of 245.6%); the worst was fiscal Q3 2025 (a decline of 31.3%).
- Per Business Quant data, MDNC's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $586,781 (Q4 2026), $435,395 (Q3 2026) and $725,472 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn | 594,286.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 594,286.00 |
| Feb 28, 2026 | 586,781.00 |
| Nov 30, 2025 | 435,395.00 |
| Aug 31, 2025 | 725,472.00 |
| May 31, 2025 | 557,418.00 |
| Feb 28, 2025 | 338,588.00 |
| Nov 30, 2024 | 379,217.00 |
| Aug 31, 2024 | 353,808.00 |
| May 31, 2024 | -277,206.00 |
| Feb 29, 2024 | -2.62 Mn |
| Nov 30, 2023 | 552,342.00 |
| Aug 31, 2023 | 183,329.00 |
| May 31, 2023 | -216,115.00 |
| Feb 28, 2023 | -1.11 Mn |
| Nov 30, 2022 | 159,822.00 |
| Aug 31, 2022 | 213,334.00 |
| May 31, 2022 | -88,638.00 |
Medinotec Selling, General & Administrative 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=selling-general-and-administrative&ticker=MDNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MDNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();