Spectral AI (MDAI) Receivables (2022 - 2026)
Spectral AI's Receivables was $1.18 million in Q2 2026, down 19.5% from $1.47 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Spectral AI (MDAI) Receivables (2022 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Spectral AI came in at $1.27 million, down 49.4% from FY2024.
- Receivables shows a three-year compound annual growth rate of -24.2% (FY2022 to FY2025).
- In earlier years, Receivables was $2.51 million in FY2024 (+6.8%), $2.35 million in FY2023 (-19.4%) and $2.91 million in FY2022.
- Quarterly Receivables has moved between $990,000 (Q3 2025) and $2.91 million (Q4 2022) over five years.
- Compared with a year earlier, Receivables has declined for five straight quarters, with an average decline of 11.9% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2024 (growth of 96.9%); the worst was Q3 2025 (a decline of 65.1%).
- Per Business Quant data, MDAI's Receivables in the three quarters before Q2 2026 was $1.19 million (Q1 2026), $1.27 million (Q4 2025) and $990,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Spectral AI | 51.82 Mn | 217,734.54 | 1.11 Mn | 1.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.19 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 990,000.00 |
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 2.51 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 2.30 Mn |
| Mar 31, 2024 | 1.83 Mn |
| Dec 31, 2023 | 2.35 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Dec 31, 2022 | 2.91 Mn |
API Access
Spectral AI Receivables 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=receivables&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();