Similarweb (SMWB) Accumulated Expenses (2020 - 2025)
Similarweb (SMWB) posted Accumulated Expenses of $41.34 million for the quarter ended Dec 31, 2025, up 41.0% from $29.33 million a year earlier.
Analysis
Similarweb (SMWB) Accumulated Expenses (2020 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2020, Similarweb has reported Accumulated Expenses for 6 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 26.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Similarweb's Accumulated Expenses was $29.33 million in the year ended Dec 31, 2024 (+26.1%), $23.26 million in the year ended Dec 31, 2023 (-16.9%), $27.99 million in the year ended Dec 31, 2022 (-0.7%) and $28.2 million in the year ended Dec 31, 2021 (+117.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Similarweb | 692.22 Mn | 415.17 Mn | 62.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 41.34 Mn |
| Dec 31, 2024 | 29.33 Mn |
| Dec 31, 2023 | 23.26 Mn |
| Dec 31, 2022 | 27.99 Mn |
| Dec 31, 2021 | 28.20 Mn |
| Dec 31, 2020 | 12.99 Mn |
API Access
Similarweb 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=SMWB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SMWB", "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=SMWB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();