Simpple (SPPL) Accumulated Expenses (2023 - 2024)
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Analysis
Simpple (SPPL) Accumulated Expenses (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - |
| 10 | Simpple | 11.63 Mn | 107,176.35 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 15,829.09 |
| Jun 30, 2024 | 15,877.00 |
| Dec 31, 2023 | 32,604.18 |
API Access
Simpple Accumulated Expenses 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=accumulated-expenses&ticker=SPPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SPPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SPPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();