Scientific Industries (SCND) Prepaid Assets (2011 - 2026)
Scientific Industries (SCND) recorded Prepaid Assets of $941,900 in Q2 2026, up 90.2% from $495,200 a year earlier and up 6.9% from the prior quarter.
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Analysis
Scientific Industries (SCND) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Scientific Industries reported Prepaid Assets of $1.12 million, up 244.0% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of 58.2% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $324,200 in FY2024 (-21.6%), $413,500 in FY2023 (-9.5%), $456,800 in FY2022 and $350,900 in FY2021 (+212.2%).
- Quarterly Prepaid Assets has ranged from $324,200 in Q4 2024 to $1.12 million in Q4 2025 over the past five years.
- On a year-over-year basis, Prepaid Assets has increased for six consecutive quarters, with growth averaging 55.3% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 244.0% in Q4 2025, against a decline of 34.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $880,700 (Q1 2026), $1.12 million (Q4 2025) and $691,800 (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 | 941,900.00 |
| Mar 31, 2026 | 880,700.00 |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 691,800.00 |
| Jun 30, 2025 | 495,200.00 |
| Mar 31, 2025 | 502,300.00 |
| Dec 31, 2024 | 324,200.00 |
| Sep 30, 2024 | 405,100.00 |
| Jun 30, 2024 | 444,600.00 |
| Mar 31, 2024 | 468,800.00 |
| Dec 31, 2023 | 413,500.00 |
| Sep 30, 2023 | 619,600.00 |
| Jun 30, 2023 | 537,300.00 |
| Mar 31, 2023 | 486,500.00 |
| Dec 31, 2022 | 456,800.00 |
| Sep 30, 2022 | 510,400.00 |
| Jun 30, 2022 | 547,600.00 |
| Mar 31, 2022 | 312,800.00 |
| Dec 31, 2021 | 580,600.00 |
| Sep 30, 2021 | 502,100.00 |
API Access
Scientific Industries Prepaid Assets 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=prepaid-assets&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();