Grandstand (GRSD) Restructuring Costs (2021 - 2025)
Grandstand (GRSD) recorded Restructuring Costs of $2.58 million in the quarter ended Dec 31, 2025, up 35.2% from $1.91 million a year earlier.
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Analysis
Grandstand (GRSD) Restructuring Costs (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Grandstand reported Restructuring Costs of $462,000, down 78.5% from the prior year.
- Annual Restructuring Costs has a three-year compound annual growth rate of -9.7% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Restructuring Costs came in at $2.15 million in the year ended Dec 31, 2024 (+484.5%), $368,000 in the year ended Dec 31, 2023 (-41.4%) and $628,000 in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Grandstand | 48.07 Mn | 7.68 Mn | 31.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 1.91 Mn |
| Dec 31, 2023 | 125,000.00 |
| Mar 31, 2023 | 200,000.00 |
| Dec 31, 2022 | 628,000.00 |
| Dec 31, 2021 | 520,000.00 |
API Access
Grandstand Restructuring Costs 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=restructuring-costs&ticker=GRSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GRSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();