Grandstand (GRSD) Goodwill & Intangibles (2020 - 2026)
Grandstand (GRSD) reported Goodwill & Intangibles of $239.26 million for the quarter ended Jun 30, 2026, down 6.2% from $255.07 million a year earlier and down 0.9% from the prior quarter.
Grandstand (GRSD) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Grandstand posted Goodwill & Intangibles of $245.68 million, up 87.8% from the prior year.
- Goodwill & Intangibles has increased for six consecutive years, with a five-year compound annual growth rate of 59.8% (years ended Dec 2020 to Dec 2025).
- By year, Goodwill & Intangibles came in at $130.81 million in the year ended Dec 31, 2024 (+33.5%), $98 million in the year ended Dec 31, 2023 (+10.7%), $88.52 million in the year ended Dec 31, 2022 (+248.2%) and $25.42 million in the year ended Dec 31, 2021 (+7.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Goodwill & Intangibles since the quarter ended Dec 31, 2024.
- Year over year, Goodwill & Intangibles gained in six of the last eight quarters, with growth averaging 63.3%.
- The high point for year-over-year Goodwill & Intangibles in five years was the quarter ended Mar 31, 2022 (growth of 297.1%); the low point was the quarter ended Jun 30, 2026 (a decline of 6.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $241.44 million (quarter ended Mar 31, 2026), $245.68 million (quarter ended Dec 31, 2025) and $261.92 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - |
| 10 | Grandstand | 44.88 Mn | 4.49 Mn | 31.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 239.26 Mn |
| Mar 31, 2026 | 241.44 Mn |
| Dec 31, 2025 | 245.68 Mn |
| Sep 30, 2025 | 261.92 Mn |
| Jun 30, 2025 | 255.07 Mn |
| Mar 31, 2025 | 248.14 Mn |
| Dec 31, 2024 | 130.81 Mn |
| Sep 30, 2024 | 138.40 Mn |
| Jun 30, 2024 | 133.16 Mn |
| Mar 31, 2024 | 96.48 Mn |
| Dec 31, 2023 | 98.00 Mn |
| Sep 30, 2023 | 88.51 Mn |
| Jun 30, 2023 | 89.93 Mn |
| Mar 31, 2023 | 89.83 Mn |
| Dec 31, 2022 | 88.52 Mn |
| Sep 30, 2022 | 78.60 Mn |
| Jun 30, 2022 | 83.08 Mn |
| Mar 31, 2022 | 88.81 Mn |
| Dec 31, 2021 | 25.42 Mn |
| Sep 30, 2021 | 23.07 Mn |
Grandstand Goodwill & 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=goodwill-and-intangibles&ticker=GRSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();