T Stamp (IDAI) Retained Earnings (2020 - 2026)
T Stamp's Retained Earnings was -$74.71 million in Q2 2026, compared with -$65.33 million a year earlier.
Analysis
T Stamp (IDAI) Retained Earnings (2020 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at T Stamp came in at -$69.78 million.
- In earlier years, Retained Earnings was -$61.46 million in FY2024, -$50.85 million in FY2023, -$39.3 million in FY2022 and -$27.21 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Retained Earnings in data going back to Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -1.25 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | -316.70 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -10.28 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 234.92 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -2.38 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 1.14 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | -1.25 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | T Stamp | 17.37 Mn | -488,267.15 | 481,428.00 | -74.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.71 Mn |
| Dec 31, 2025 | -69.78 Mn |
| Sep 30, 2025 | -67.24 Mn |
| Jun 30, 2025 | -65.33 Mn |
| Mar 31, 2025 | -63.62 Mn |
| Dec 31, 2024 | -61.46 Mn |
| Sep 30, 2024 | -55.45 Mn |
| Jun 30, 2024 | -56.13 Mn |
| Mar 31, 2024 | -53.53 Mn |
| Dec 31, 2023 | -50.85 Mn |
| Sep 30, 2023 | -44.05 Mn |
| Jun 30, 2023 | -44.02 Mn |
| Mar 31, 2023 | -41.85 Mn |
| Dec 31, 2022 | -39.30 Mn |
| Sep 30, 2022 | -35.26 Mn |
| Jun 30, 2022 | -31.82 Mn |
| Mar 31, 2022 | -28.90 Mn |
| Dec 31, 2021 | -27.21 Mn |
| Sep 30, 2021 | -25.18 Mn |
| Dec 31, 2020 | -18.15 Mn |
API Access
T Stamp Retained Earnings 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=retained-earnings&ticker=IDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=IDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();