Spectral AI (MDAI) Accumulated Expenses (2020 - 2026)
Spectral AI (MDAI) reported Accumulated Expenses of $1.71 million for Q2 2026, down 32.9% from $2.55 million a year earlier and down 35.5% from the prior quarter.
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Analysis
Spectral AI (MDAI) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Spectral AI posted Accumulated Expenses of $2.34 million, down 27.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 410.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $3.21 million in FY2024 (-25.3%), $4.3 million in FY2023 (+63.4%), $2.63 million in FY2022 (-9.6%) and $2.91 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q3 2021.
- Year over year, Accumulated Expenses has now declined in each of the last eight quarters, with an average decline of 20.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 135.5%); the low point was Q2 2026 (a decline of 32.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.65 million (Q1 2026), $2.34 million (Q4 2025) and $2.48 million (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 | Spectral AI | 53.43 Mn | 1.83 Mn | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.71 Mn |
| Mar 31, 2026 | 2.65 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 2.48 Mn |
| Jun 30, 2025 | 2.55 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 3.21 Mn |
| Sep 30, 2024 | 3.25 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | 3.82 Mn |
| Dec 31, 2023 | 4.30 Mn |
| Sep 30, 2023 | 3.98 Mn |
| Dec 31, 2022 | 2.63 Mn |
| Sep 30, 2022 | 3.08 Mn |
| Jun 30, 2022 | 2.98 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 2.91 Mn |
| Sep 30, 2021 | 1.31 Mn |
| Jun 30, 2021 | 215,609.00 |
| Mar 31, 2021 | 164,558.00 |
API Access
Spectral AI 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=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();