Scientific Industries (SCND) Receivables (2011 - 2026)
Scientific Industries' Receivables was $517,100 in Q2 2026, down 46.5% from $966,000 a year earlier and down 3.4% from the prior quarter.
Powered by 
Analysis
Scientific Industries (SCND) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Scientific Industries came in at $865,800, up 48.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In earlier years, Receivables was $581,900 in FY2024 (-49.7%), $1.16 million in FY2023 (-11.9%), $1.31 million in FY2022 and $1.29 million in FY2021 (+21.7%).
- The Q2 2026 figure marks the lowest quarterly Receivables in data going back to Q4 2022.
- Compared with a year earlier, Receivables was higher in three of the last eight quarters, with an average decline of 20.4%.
- The best year-over-year quarter for Receivables over five years was Q4 2025 (growth of 48.8%); the worst was Q1 2026 (a decline of 55.7%).
- Per Business Quant data, SCND's Receivables in the three quarters before Q2 2026 was $535,300 (Q1 2026), $865,800 (Q4 2025) and $677,600 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 517,100.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517,100.00 |
| Mar 31, 2026 | 535,300.00 |
| Dec 31, 2025 | 865,800.00 |
| Sep 30, 2025 | 677,600.00 |
| Jun 30, 2025 | 966,000.00 |
| Mar 31, 2025 | 1.21 Mn |
| Dec 31, 2024 | 581,900.00 |
| Sep 30, 2024 | 1.36 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 1.16 Mn |
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 1.34 Mn |
| Sep 30, 2021 | 1.49 Mn |
API Access
Scientific Industries Receivables 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=receivables&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();