Sagtec Global (SAGT) Depreciation and Depletion (2024 - 2025)
Sagtec Global (SAGT) reported Depreciation and Depletion of $298,582 for the quarter ended Dec 31, 2025, down 35.3% from $461,768 a year earlier.
Sagtec Global (SAGT) Depreciation and Depletion (2024 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Sagtec Global posted Depreciation and Depletion of $881,076, down 47.8% from the prior year.
- Depreciation and Depletion has a three-year compound annual growth rate of -11.3% (years ended Dec 2022 to Dec 2025).
- By year, Depreciation and Depletion came in at $1.69 million in the year ended Dec 31, 2024 (+3.0%), $1.64 million in the year ended Dec 31, 2023 (+30.0%) and $1.26 million in the year ended Dec 31, 2022.
- Five-year quarterly Depreciation and Depletion spans a low of -$834,252 in the quarter ended Sep 30, 2025 and a high of $461,768 in the quarter ended Dec 31, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.36 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Sagtec Global | 11.20 Mn | 2.67 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 298,582.00 |
| Sep 30, 2025 | -834,252.00 |
| Dec 31, 2024 | 461,768.00 |
| Sep 30, 2024 | 445,661.00 |
Sagtec Global Depreciation and Depletion 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=depreciation-and-depletion&ticker=SAGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SAGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();