Sagtec Global (SAGT) Total Non-Current Liabilities (2024 - 2026)
Sagtec Global (SAGT) posted Total Non-Current Liabilities of $1.29 million for the quarter ended Jun 30, 2026, up 74.8% from $738,430 a year earlier.
Sagtec Global (SAGT) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
As of Dec 31, 2025, Sagtec Global's Total Non-Current Liabilities came in at $1.45 million, up 83.4% from the prior year.
- In prior years, Sagtec Global's Total Non-Current Liabilities was $792,647 in the year ended Dec 31, 2024.
- Quarterly Total Non-Current Liabilities has run from a low of $738,430 in the quarter ended Jun 30, 2025 to a high of $1.45 million in the quarter ended Dec 31, 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Sagtec Global | 11.20 Mn | 2.67 Mn | - | 1.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.45 Mn |
| Sep 30, 2025 | 953,613.00 |
| Jun 30, 2025 | 738,430.00 |
| Dec 31, 2024 | 792,647.00 |
Sagtec Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SAGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SAGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();