Scientific Industries (SCND) Operating Leases (2019 - 2026)
Scientific Industries' Operating Leases was $430,400 in Q2 2026, down 29.0% from $606,300 a year earlier and down 20.7% from the prior quarter.
Scientific Industries (SCND) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Scientific Industries came in at $595,300, down 14.3% from FY2024.
- Operating Leases has now declined for three consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Operating Leases was $694,400 in FY2024 (-31.1%), $1.01 million in FY2023 (-12.8%), $1.16 million in FY2022 and $460,500 in FY2021 (-28.1%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q4 2022.
- Compared with a year earlier, Operating Leases has declined for eight straight quarters, with an average decline of 24.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Operating Leases ran from 12.8% in Q4 2023 to 31.1% in Q4 2024.
- Per Business Quant data, SCND's Operating Leases in the three quarters before Q2 2026 was $543,000 (Q1 2026), $595,300 (Q4 2025) and $542,200 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430,400.00 |
| Mar 31, 2026 | 543,000.00 |
| Dec 31, 2025 | 595,300.00 |
| Sep 30, 2025 | 542,200.00 |
| Jun 30, 2025 | 606,300.00 |
| Mar 31, 2025 | 669,400.00 |
| Dec 31, 2024 | 694,400.00 |
| Sep 30, 2024 | 761,700.00 |
| Jun 30, 2024 | 819,400.00 |
| Mar 31, 2024 | 877,000.00 |
| Dec 31, 2023 | 1.01 Mn |
| Sep 30, 2023 | 987,300.00 |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 1.16 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 1.24 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 469,200.00 |
Scientific Industries Operating Leases 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=operating-leases&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();