T Stamp (IDAI) Operating Expenses (2020 - 2026)
T Stamp's Operating Expenses was $3.3 million in Q2 2026, up 32.1% from $2.5 million a year earlier.
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Analysis
T Stamp (IDAI) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, T Stamp's Operating Expenses was $11.39 million through Jun 30, 2026, up 2.6% year-over-year; for FY2025, it came in at $10.8 million, down 13.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $12.45 million in FY2024 (unchanged), $12.45 million in FY2023 (-28.7%), $17.46 million in FY2022 (+38.9%) and $12.57 million in FY2021 (+13.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2024.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with an average decline of 5.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 80.8%); the worst was Q3 2023 (a decline of 35.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 541.37 Mn |
| 10 | T Stamp | 15.75 Mn | -2.27 Mn | 481,428.00 | 3.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.30 Mn |
| Dec 31, 2025 | 2.95 Mn |
| Sep 30, 2025 | 2.64 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 2.71 Mn |
| Sep 30, 2024 | 3.19 Mn |
| Jun 30, 2024 | 3.13 Mn |
| Mar 31, 2024 | 3.42 Mn |
| Dec 31, 2023 | 3.48 Mn |
| Sep 30, 2023 | 3.09 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | 3.04 Mn |
| Dec 31, 2022 | 4.56 Mn |
| Sep 30, 2022 | 4.79 Mn |
| Jun 30, 2022 | 3.65 Mn |
| Mar 31, 2022 | 4.46 Mn |
| Dec 31, 2021 | 4.06 Mn |
| Sep 30, 2021 | 3.27 Mn |
| Jun 30, 2021 | 2.77 Mn |
API Access
T Stamp Operating Expenses 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=operating-expenses&ticker=IDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();