Scientific Industries (SCND) Accumulated Expenses (2011 - 2026)
Scientific Industries' Accumulated Expenses was $510,900 in Q2 2026, down 25.7% from $687,900 a year earlier but up 0.3% from the prior quarter.
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Analysis
Scientific Industries (SCND) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Scientific Industries came in at $416,700, down 33.8% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $629,100 in FY2024 (-19.1%), $777,900 in FY2023 (-5.3%), $821,800 in FY2022 and $633,500 in FY2021 (-6.7%).
- Quarterly Accumulated Expenses has moved between $416,700 (Q4 2025) and $887,400 (Q1 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with an average decline of 19.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 0.3%); the worst was Q1 2026 (a decline of 34.5%).
- Per Business Quant data, SCND's Accumulated Expenses in the three quarters before Q2 2026 was $509,500 (Q1 2026), $416,700 (Q4 2025) and $577,600 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 510,900.00 |
| Mar 31, 2026 | 509,500.00 |
| Dec 31, 2025 | 416,700.00 |
| Sep 30, 2025 | 577,600.00 |
| Jun 30, 2025 | 687,900.00 |
| Mar 31, 2025 | 778,200.00 |
| Dec 31, 2024 | 629,100.00 |
| Sep 30, 2024 | 623,600.00 |
| Jun 30, 2024 | 685,900.00 |
| Mar 31, 2024 | 887,400.00 |
| Dec 31, 2023 | 777,900.00 |
| Sep 30, 2023 | 810,800.00 |
| Jun 30, 2023 | 926,200.00 |
| Mar 31, 2023 | 953,200.00 |
| Dec 31, 2022 | 821,800.00 |
| Sep 30, 2022 | 762,500.00 |
| Jun 30, 2022 | 796,000.00 |
| Mar 31, 2022 | 661,100.00 |
| Dec 31, 2021 | 601,600.00 |
| Sep 30, 2021 | 542,700.00 |
API Access
Scientific Industries Accumulated Expenses 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=accumulated-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();