Sagtec Global (SAGT) Non Operating Interest Expenses (2024 - 2025)
Sagtec Global (SAGT) recorded Non Operating Interest Expenses of -$15,339 in the quarter ended Dec 31, 2025, compared with -$252,081 a year earlier.
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Analysis
Sagtec Global (SAGT) Non Operating Interest Expenses (2024 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Sagtec Global reported Non Operating Interest Expenses of -$60,644.
- Across earlier years, Non Operating Interest Expenses came in at $262,176 in the year ended Dec 31, 2024 (+59.4%), $164,491 in the year ended Dec 31, 2023 (+351.9%) and $36,399 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Non Operating Interest Expenses since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | - |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | - |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | - |
| 10 | Sagtec Global | 11.79 Mn | 3.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -15,339.00 |
| Sep 30, 2025 | -178,105.00 |
| Dec 31, 2024 | -252,081.00 |
| Sep 30, 2024 | 72,094.00 |
API Access
Sagtec Global Non Operating Interest 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=non-operating-interest-expenses&ticker=SAGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SAGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();