Medinotec (MDNC) Depreciation & Amortization (CF) (2022 - 2026)
Medinotec (MDNC) reported Depreciation & Amortization (CF) of $21,282 for fiscal Q1 2027 (quarter ended May 31, 2026), up 183.5% from $7,506 a year earlier but down 63.4% from the prior quarter.
Medinotec (MDNC) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Medinotec's Depreciation & Amortization (CF) came in at $94,649, up 62.8% year-over-year; for FY2026 (ended Feb 28, 2026), it was $80,873, up 9.5% from FY2025.
- Depreciation & Amortization (CF) has a four-year compound annual growth rate of -0.6% (FY2022 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $73,846 in FY2025 (-16.3%), $88,225 in FY2024 (+64.7%), $53,553 in FY2023 (-35.3%) and $82,809 in FY2022.
- Five-year quarterly Depreciation & Amortization (CF) spans a low of -$10,600 in fiscal Q4 2023 and a high of $58,204 in fiscal Q4 2026.
- Year over year, Depreciation & Amortization (CF) gained in three of the last six quarters, with growth averaging 10.1%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q1 2027 (growth of 183.5%); the low point was fiscal Q3 2026 (a decline of 70.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $58,204 (Q4 2026), $7,666 (Q3 2026) and $7,497 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn | 21,282.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 21,282.00 |
| Feb 28, 2026 | 58,204.00 |
| Nov 30, 2025 | 7,666.00 |
| Aug 31, 2025 | 7,497.00 |
| May 31, 2025 | 7,506.00 |
| Feb 28, 2025 | -657.00 |
| Nov 30, 2024 | 25,966.00 |
| Aug 31, 2024 | 25,309.00 |
| May 31, 2024 | 23,228.00 |
| Feb 29, 2024 | 33,561.00 |
| Nov 30, 2023 | 17,396.00 |
| Aug 31, 2023 | 18,603.00 |
| May 31, 2023 | 18,665.00 |
| Feb 28, 2023 | -10,600.00 |
| Nov 30, 2022 | 19,809.00 |
| Aug 31, 2022 | 21,321.00 |
| May 31, 2022 | 23,023.00 |
Medinotec Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MDNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();