Spectral AI (MDAIW) Depreciation & Amortization (CF) (2022 - 2026)
Spectral AI (MDAIW) reported Depreciation & Amortization (CF) of $30,000 for Q2 2026, up 200.0% from $10,000 a year earlier and unchanged from the prior quarter.
Spectral AI (MDAIW) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Spectral AI's Depreciation & Amortization (CF) came in at $119,000, up 600.0% year-over-year; for FY2025, it was $71,000, up 610.0% from FY2024.
- Depreciation & Amortization (CF) has a three-year compound annual growth rate of 86.2% (FY2022 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $10,000 in FY2024 (+11.1%), $9,000 in FY2023 (-18.2%) and $11,000 in FY2022.
- Year over year, Depreciation & Amortization (CF) gained in four of the last six quarters, with growth averaging 206.9%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q4 2025 (growth of 625.0%); the low point was Q4 2023 (a decline of 60.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30,000 (Q1 2026), $29,000 (Q4 2025) and $30,000 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30,000.00 |
| Mar 31, 2026 | 30,000.00 |
| Dec 31, 2025 | 29,000.00 |
| Sep 30, 2025 | 30,000.00 |
| Jun 30, 2025 | 10,000.00 |
| Mar 31, 2025 | 2,000.00 |
| Dec 31, 2024 | 4,000.00 |
| Sep 30, 2024 | 1,000.00 |
| Jun 30, 2024 | 2,000.00 |
| Mar 31, 2024 | 3,000.00 |
| Dec 31, 2023 | 2,000.00 |
| Sep 30, 2023 | 2,000.00 |
| Jun 30, 2023 | 3,000.00 |
| Mar 31, 2023 | 2,000.00 |
| Dec 31, 2022 | 5,000.00 |
Spectral AI Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MDAIW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MDAIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();