Grandstand (GRSD) Amortization - Intangibles (2022 - 2025)
Grandstand (GRSD) recorded Amortization - Intangibles of $3.53 million in the quarter ended Dec 31, 2025, up 116.2% from $1.63 million a year earlier.
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Analysis
Grandstand (GRSD) Amortization - Intangibles (2022 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Grandstand reported Amortization - Intangibles of $13.81 million, up 154.6% from the prior year.
- Annual Amortization - Intangibles has a four-year compound annual growth rate of 58.3% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Amortization - Intangibles came in at $5.43 million in the year ended Dec 31, 2024 (+194.6%), $1.84 million in the year ended Dec 31, 2023 (-72.8%), $6.77 million in the year ended Dec 31, 2022 (+207.7%) and $2.2 million in the year ended Dec 31, 2021.
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 | Grandstand | 53.00 Mn | 12.61 Mn | 31.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.53 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 505,000.00 |
| Dec 31, 2022 | 1.36 Mn |
API Access
Grandstand 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=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "GRSD", "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=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();