Scientific Industries (SCND) Depreciation & Amortization (CF) (2010 - 2026)
Scientific Industries (SCND) recorded Depreciation & Amortization (CF) of $50,800 in Q2 2026, down 67.1% from $154,300 a year earlier and down 8.1% from the prior quarter.
Powered by 
Analysis
Scientific Industries (SCND) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Scientific Industries' Depreciation & Amortization (CF) came in at $395,100 as of Jun 30, 2026, down 43.1% year-over-year; for FY2025, it came in at $610,000, down 18.7% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $750,700 in FY2024 (-0.4%), $754,000 in FY2023 (+98.0%), $380,800 in FY2022 and $251,500 in FY2021 (+56.3%).
- The Q2 2026 figure is the lowest quarterly Depreciation & Amortization (CF) since Q4 2022.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined for seven consecutive quarters, with an average decline of 30.0% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at $55,300 (Q1 2026), $151,800 (Q4 2025) and $137,200 (Q3 2025).
Peer Set
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 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 50,800.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50,800.00 |
| Mar 31, 2026 | 55,300.00 |
| Dec 31, 2025 | 151,800.00 |
| Sep 30, 2025 | 137,200.00 |
| Jun 30, 2025 | 154,300.00 |
| Mar 31, 2025 | 166,700.00 |
| Dec 31, 2024 | 185,300.00 |
| Sep 30, 2024 | 188,100.00 |
| Jun 30, 2024 | 189,200.00 |
| Mar 31, 2024 | 188,100.00 |
| Dec 31, 2023 | 189,900.00 |
| Mar 31, 2023 | 187,900.00 |
| Dec 31, 2022 | -201,000.00 |
| Sep 30, 2022 | 188,900.00 |
| Mar 31, 2022 | 254,500.00 |
| Dec 31, 2021 | 162,200.00 |
| Sep 30, 2021 | 165,100.00 |
| Jun 30, 2021 | 124,800.00 |
| Mar 31, 2021 | 43,700.00 |
| Dec 31, 2020 | 42,400.00 |
API Access
Scientific Industries 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=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "SCND", "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=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();