Dhi (DHX) Amortization - Intangibles (2010 - 2026)
Dhi (DHX) posted Amortization - Intangibles of $303,000 for Q2 2026, up 28.9% from the prior quarter.
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Analysis
Dhi (DHX) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Dhi was $871,000; for FY2025, it was $333,000.
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles since Q4 2017.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $235,000 (Q1 2026), $207,000 (Q4 2025) and $126,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Dhi | 202.30 Mn | 190.32 Mn | 25.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303,000.00 |
| Mar 31, 2026 | 235,000.00 |
| Dec 31, 2025 | 207,000.00 |
| Sep 30, 2025 | 126,000.00 |
| Jun 30, 2018 | 191,000.00 |
| Mar 31, 2018 | 291,000.00 |
| Dec 31, 2017 | 452,000.00 |
| Sep 30, 2017 | 554,000.00 |
| Jun 30, 2017 | 571,000.00 |
| Mar 31, 2017 | 561,000.00 |
| Dec 31, 2016 | 681,000.00 |
| Sep 30, 2016 | 1.57 Mn |
| Jun 30, 2016 | 2.07 Mn |
| Mar 31, 2016 | 2.47 Mn |
| Dec 31, 2015 | 3.02 Mn |
| Sep 30, 2015 | 3.38 Mn |
| Jun 30, 2015 | 3.76 Mn |
| Mar 31, 2015 | 3.74 Mn |
| Dec 31, 2014 | 3.71 Mn |
| Sep 30, 2014 | 3.80 Mn |
API Access
Dhi Amortization - Intangibles 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=amortization-intangibles&ticker=DHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "DHX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=DHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();