Sagtec Global (SAGT) Net Income (2024 - 2025)
Sagtec Global (SAGT) posted Net Income of -$810,726 for the quarter ended Dec 31, 2025, compared with $3.8 million a year earlier.
Sagtec Global (SAGT) Net Income (2024 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Sagtec Global's Net Income came in at $1.8 million, down 74.9% from the prior year.
- Annual Net Income shows a three-year compound annual growth rate of -8.7% (years ended Dec 2022 to Dec 2025).
- In prior years, Sagtec Global's Net Income was $7.17 million in the year ended Dec 31, 2024 (+53.9%), $4.66 million in the year ended Dec 31, 2023 (+97.0%) and $2.36 million in the year ended Dec 31, 2022.
- Quarterly Net Income has run from a low of -$2.87 million in the quarter ended Sep 30, 2025 to a high of $3.8 million in the quarter ended Dec 31, 2024 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 273.43 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 16.23 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 154.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 118.78 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 33.16 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -471.70 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 50.35 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 55.00 Mn |
| 10 | Sagtec Global | 11.20 Mn | 2.67 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -810,726.00 |
| Sep 30, 2025 | -2.87 Mn |
| Dec 31, 2024 | 3.80 Mn |
| Sep 30, 2024 | 1.44 Mn |
Sagtec Global Net Income 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=net-income&ticker=SAGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "ticker": "SAGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-income&ticker=SAGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();