Spectral AI (MDAI) Long-Term Debt Repayments (2022 - 2026)
Spectral AI (MDAI) recorded Long-Term Debt Repayments of $160,000 in Q2 2026, down 12.1% from $182,000 a year earlier but up 1.9% from the prior quarter.
Spectral AI (MDAI) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
On a TTM basis, Spectral AI's Long-Term Debt Repayments came in at $533,000 as of Jun 30, 2026, down 91.6% year-over-year; for FY2025, it came in at $1.53 million, down 80.3% from FY2024.
- Annual Long-Term Debt Repayments has a four-year compound annual growth rate of 84.1% (FY2021 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $7.76 million in FY2024, $483,000 in FY2023 (-38.5%), $785,000 in FY2022 (+490.2%) and $133,000 in FY2021.
- Quarterly Long-Term Debt Repayments has ranged from $62,000 in Q3 2025 to $3.86 million in Q3 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined for five consecutive quarters, with growth averaging 76.7% over the last seven quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 493.8% in Q4 2024, against a decline of 98.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $157,000 (Q1 2026), $154,000 (Q4 2025) and $62,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Spectral AI | 48.12 Mn | -3.48 Mn | 1.11 Mn | 160,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160,000.00 |
| Mar 31, 2026 | 157,000.00 |
| Dec 31, 2025 | 154,000.00 |
| Sep 30, 2025 | 62,000.00 |
| Jun 30, 2025 | 182,000.00 |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 3.86 Mn |
| Jun 30, 2024 | 2.52 Mn |
| Mar 31, 2024 | 218,000.00 |
| Dec 31, 2023 | 195,000.00 |
| Sep 30, 2023 | 113,000.00 |
| Jun 30, 2023 | 71,000.00 |
| Mar 31, 2023 | 104,000.00 |
| Dec 31, 2022 | 134,000.00 |
Spectral AI Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();