Totaligent (TGNT) Depreciation & Amortization - Total (2012 - 2016)
Totaligent's Depreciation & Amortization - Total was $20,960 in FY2023, down 35.1% from $32,294 in FY2022.
Analysis
Totaligent (TGNT) Depreciation & Amortization - Total (2012 - 2016) Analysis & Trends
From FY2012 onward, Totaligent has reported Depreciation & Amortization - Total for 6 years.
- The FY2023 figure marks the lowest annual Depreciation & Amortization - Total in data going back to FY2012.
- Per Business Quant data, Depreciation & Amortization - Total in earlier years was $32,294 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | - |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | - |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | - |
| 10 | Totaligent | 1.73 Mn | 1.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 29,130.00 |
| Dec 31, 2015 | 29,392.00 |
| Sep 30, 2015 | 30,360.00 |
| Mar 31, 2015 | 37,369.00 |
| Dec 31, 2014 | 42,225.00 |
| Sep 30, 2014 | 47,560.00 |
| Jun 30, 2014 | 76,686.00 |
| Mar 31, 2014 | 41,654.00 |
| Dec 31, 2013 | 47,297.00 |
| Sep 30, 2013 | 45,808.00 |
| Jun 30, 2013 | 47,503.00 |
| Mar 31, 2013 | 50,207.00 |
| Dec 31, 2012 | 45,376.00 |
| Sep 30, 2012 | 40,481.00 |
API Access
Totaligent Depreciation & Amortization - Total 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-amortization-total&ticker=TGNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "TGNT", "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-amortization-total&ticker=TGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();