Specificity (SPTY) Other non-cash items (2024 - 2025)
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Analysis
Specificity (SPTY) Other non-cash items (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 479.17 Bn | 448.12 Bn | 1.64 Bn |
| 2 | Oracle | 375.05 Bn | 247.18 Bn | - |
| 3 | Sap Se | 281.16 Bn | 208.94 Bn | 8.40 Bn |
| 4 | Salesforce | 204.16 Bn | 160.04 Bn | 8.70 Bn |
| 5 | ServiceNow | 162.01 Bn | 140.47 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 121.99 Bn | 104.11 Bn | 2.51 Bn |
| 7 | Intuit | 96.68 Bn | 76.03 Bn | 3.44 Bn |
| 8 | Relx | 74.42 Bn | 73.51 Bn | - |
| 9 | Thomson Reuters | 55.00 Bn | 51.78 Bn | - |
| 10 | Specificity | 4.98 Mn | 4.93 Mn | 118,436.00 |
API Access
Specificity Other non-cash items 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=other-non-cash-items&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "ticker": "SPTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-cash-items&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();