Mynd.ai (MYND) Debt Ratio (2019 - 2026)
Mynd.ai's (MYND) Debt Ratio came in at 0.39 for Q2 2026, up 23.2% from 0.32 a year earlier.
Analysis
Mynd.ai (MYND) Debt Ratio (2019 - 2026) Analysis & Trends
For FY2025, Mynd.ai's Debt Ratio stood at 0.35, up 28.3% from FY2024.
- In prior years, Mynd.ai's Debt Ratio was 0.27 in FY2024 (+14.9%), 0.24 in FY2023 (-12.7%), 0.27 in FY2022 (+120.4%) and 0.12 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Debt Ratio in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn | 0.22 |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn | 0.23 |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn | 0.27 |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn | - |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn | - |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn | 0.08 |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn | 0.36 |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn | 0.08 |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn | 0.24 |
| 10 | Mynd.ai | 9.14 Mn | -120.76 Mn | - | 0.39 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.39 |
| Dec 31, 2025 | 0.35 |
| Jun 30, 2025 | 0.32 |
| Dec 31, 2024 | 0.27 |
| Jun 30, 2024 | 0.26 |
| Dec 31, 2023 | 0.24 |
| Jun 30, 2023 | 0.07 |
| Dec 31, 2022 | 0.14 |
| Dec 31, 2021 | 0.57 |
| Dec 31, 2020 | 0.00 |
| Sep 30, 2020 | 0.00 |
| Jun 30, 2020 | 0.00 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.00 |
API Access
Mynd.ai Debt Ratio 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=debt-ratio&ticker=MYND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "MYND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=MYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();