Spectral AI (MDAI) Operating Leases (2022 - 2026)
Spectral AI's Operating Leases came in at $566,000 for Q2 2026, down 57.8% from $1.34 million a year earlier and down 26.4% from the prior quarter.
Analysis
Spectral AI (MDAI) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Spectral AI's Operating Leases was $968,000, down 43.1% from FY2024.
- Operating Leases carries a three-year compound annual growth rate of 40.9% (FY2022 to FY2025).
- Going back by year, Operating Leases was $1.7 million in FY2024 and $346,000 in FY2022.
- The Q2 2026 figure represents the lowest quarterly Operating Leases since Q3 2023.
- Year-over-year, Operating Leases has declined for five consecutive quarters, with growth averaging 82.9% over the last six quarters.
- Business Quant data shows MDAI's Operating Leases at $769,000 (Q1 2026), $968,000 (Q4 2025) and $1.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Spectral AI | 51.82 Mn | 217,734.54 | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 566,000.00 |
| Mar 31, 2026 | 769,000.00 |
| Dec 31, 2025 | 968,000.00 |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 2.04 Mn |
| Sep 30, 2023 | 228,000.00 |
| Dec 31, 2022 | 346,000.00 |
API Access
Spectral AI 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=MDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "MDAI", "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=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();