T Stamp (IDAI) Debt Ratio (2020 - 2026)
T Stamp's Debt Ratio was 0.09 in Q2 2026, down 54.0% from 0.20 a year earlier.
Analysis
T Stamp (IDAI) Debt Ratio (2020 - 2026) Analysis & Trends
For FY2025, Debt Ratio at T Stamp came in at 0.10, down 87.8% from FY2024.
- In earlier years, Debt Ratio was 0.82 in FY2024 (+579.8%), 0.12 in FY2023 (-12.6%), 0.14 in FY2022 (+39.9%) and 0.10 in FY2021 (+38.2%).
- The Q2 2026 figure marks the lowest quarterly Debt Ratio since Q1 2022.
- Compared with a year earlier, Debt Ratio was higher in four of the last seven quarters, with growth averaging 78.2%.
- The best year-over-year quarter for Debt Ratio over five years was Q4 2024 (growth of 579.8%); the worst was Q4 2025 (a decline of 87.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 246.93 Bn | 232.00 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 234.18 Bn | 214.58 Bn | 1.10 Bn | 0.06 |
| 3 | Snowflake | 103.91 Bn | 91.22 Bn | 1.04 Bn | - |
| 4 | Fortinet | 90.88 Bn | 75.13 Bn | 1.64 Bn | 0.04 |
| 5 | Datadog | 65.40 Bn | 45.94 Bn | 959.92 Mn | - |
| 6 | Okta | 31.82 Bn | 21.91 Bn | 641.00 Mn | - |
| 7 | Zscaler | 31.77 Bn | 17.92 Bn | 689.22 Mn | - |
| 8 | MongoDB | 27.02 Bn | 17.49 Bn | 569.77 Mn | - |
| 9 | Axon Enterprise | 24.20 Bn | 18.73 Bn | 546.45 Mn | 0.23 |
| 10 | T Stamp | 13.81 Mn | -7.81 Mn | 481,428.00 | 0.40 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.40 |
| Dec 31, 2025 | 0.10 |
| Sep 30, 2025 | 0.29 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 0.15 |
| Dec 31, 2024 | 0.71 |
| Sep 30, 2024 | 0.16 |
| Jun 30, 2024 | 0.18 |
| Mar 31, 2024 | 0.17 |
| Dec 31, 2023 | 0.12 |
| Sep 30, 2023 | 0.12 |
| Jun 30, 2023 | 0.10 |
| Mar 31, 2023 | 0.18 |
| Dec 31, 2022 | 0.14 |
| Sep 30, 2022 | 0.10 |
| Jun 30, 2022 | 0.11 |
| Mar 31, 2022 | 0.08 |
| Dec 31, 2021 | 0.10 |
| Sep 30, 2021 | 0.22 |
| Dec 31, 2020 | 0.07 |
API Access
T Stamp 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=IDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "IDAI", "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=IDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();