Spectral AI (MDAIW) Accumulated Expenses (2020 - 2026)
Spectral AI's Accumulated Expenses was $1.71 million in 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 (MDAIW) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Spectral AI came in at $2.34 million, down 27.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 410.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $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 marks the lowest quarterly Accumulated Expenses since Q3 2021.
- Compared with a year earlier, Accumulated Expenses has declined for eight straight quarters, with an average decline of 20.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2022 (growth of 135.5%); the worst was Q2 2026 (a decline of 32.9%).
- Per Business Quant data, MDAIW's Accumulated Expenses in the three quarters before Q2 2026 was $2.65 million (Q1 2026), $2.34 million (Q4 2025) and $2.48 million (Q3 2025).
Peer Set
Peer Comparison
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=MDAIW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MDAIW", "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=MDAIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();