T Stamp (IDAI) Change in Accured Expenses (2020 - 2025)
T Stamp (IDAI) reported Change in Accured Expenses of -$313,801 for Q4 2025, compared with -$1.15 million a year earlier.
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Analysis
T Stamp (IDAI) Change in Accured Expenses (2020 - 2025) Analysis & Trends
For FY2025, T Stamp posted Change in Accured Expenses of $27,111.
- Change in Accured Expenses has a five-year compound annual growth rate of -51.3% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$622,753 in FY2024, $20,566 in FY2023 (-49.0%), $40,290 in FY2022 (-83.9%) and $250,329 in FY2021 (-74.6%).
- Five-year quarterly Change in Accured Expenses spans a low of -$1.15 million in Q4 2024 and a high of $468,926 in Q3 2022.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 16.2%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2022 (growth of 79.2%); the low point was Q1 2023 (a decline of 64.2%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $165,790 (Q3 2025), $301,621 (Q2 2025) and -$126,499 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | T Stamp | 18.21 Mn | 357,627.04 | 481,428.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -313,801.00 |
| Sep 30, 2025 | 165,790.00 |
| Jun 30, 2025 | 301,621.00 |
| Mar 31, 2025 | -126,499.00 |
| Dec 31, 2024 | -1.15 Mn |
| Sep 30, 2024 | 130,882.00 |
| Jun 30, 2024 | 254,800.00 |
| Mar 31, 2024 | 140,688.00 |
| Dec 31, 2023 | 258,997.00 |
| Sep 30, 2023 | 198,934.00 |
| Jun 30, 2023 | -528,659.00 |
| Mar 31, 2023 | 91,294.00 |
| Dec 31, 2022 | 187,892.00 |
| Sep 30, 2022 | 468,926.00 |
| Jun 30, 2022 | -871,266.00 |
| Mar 31, 2022 | 254,738.00 |
| Dec 31, 2021 | 358,592.00 |
| Sep 30, 2021 | 261,689.00 |
| Jun 30, 2021 | -311,919.00 |
| Mar 31, 2021 | -58,033.00 |
API Access
T Stamp Change in Accured 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=change-in-accured-expenses&ticker=IDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=IDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();