T Stamp (IDAI) Return on Sales [ROS] (2020 - 2026)
T Stamp's Return on Sales [ROS] was -266.37% in Q2 2026, down 59.33 percentage points from -207.05% a year earlier.
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Analysis
T Stamp (IDAI) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, T Stamp's Return on Sales [ROS] was -225.95% through Jun 30, 2026, up 3.92 percentage points year-over-year; for FY2025, it was -244.00%, up 59.90 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +73.04 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -303.91% in FY2024 (-130.89 pp), -173.01% in FY2023 (+51.29 pp), -224.30% in FY2022 (+17.44 pp) and -241.74% in FY2021 (+75.30 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last seven quarters, with an average year-over-year change of +62.38 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 635.08 percentage points); the worst was Q4 2022 (a drop of 705.90 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | -2.26% |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | -17.00% |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 33.89% |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 6.24% |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | -1.72% |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 13.29% |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 9.66% |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 3.68% |
| 10 | T Stamp | 12.69 Mn | -8.77 Mn | 481,428.00 | -266.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -266.37% |
| Mar 31, 2026 | -299.83% |
| Dec 31, 2025 | -224.90% |
| Sep 30, 2025 | -202.96% |
| Jun 30, 2025 | -207.05% |
| Mar 31, 2025 | -396.54% |
| Dec 31, 2024 | -81.23% |
| Sep 30, 2024 | -523.73% |
| Jun 30, 2024 | -524.66% |
| Mar 31, 2024 | -496.67% |
| Dec 31, 2023 | -505.37% |
| Sep 30, 2023 | -0.71% |
| Jun 30, 2023 | -517.01% |
| Mar 31, 2023 | -562.49% |
| Dec 31, 2022 | -799.73% |
| Sep 30, 2022 | -255.33% |
| Jun 30, 2022 | -414.79% |
| Mar 31, 2022 | -58.17% |
| Dec 31, 2021 | -93.83% |
| Sep 30, 2021 | -890.42% |
API Access
T Stamp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();