Similarweb (SMWB) Operating Leases (2022 - 2026)
Similarweb (SMWB) recorded Operating Leases of $9.31 million in the quarter ended Jun 30, 2026, up 17.3% from $7.94 million a year earlier and up 45.3% from the prior quarter.
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Analysis
Similarweb (SMWB) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Similarweb reported Operating Leases of $8.84 million, up 27.7% from the prior year.
- Annual Operating Leases has a three-year compound annual growth rate of -0.9% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Operating Leases came in at $6.92 million in the year ended Dec 31, 2024 (-2.4%), $7.1 million in the year ended Dec 31, 2023 (-22.0%) and $9.09 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Leases in data going back to the quarter ended Mar 31, 2022.
- On a year-over-year basis, Operating Leases rose in five of the last eight quarters, with growth averaging 10.7%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 27.7% in the quarter ended Dec 31, 2025, against a decline of 25.6% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.41 million (quarter ended Mar 31, 2026), $8.84 million (quarter ended Dec 31, 2025) and $8.18 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn |
| 10 | Similarweb | 749.78 Mn | 472.74 Mn | 62.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.41 Mn |
| Mar 31, 2026 | 32.98 Mn |
| Dec 31, 2025 | 34.46 Mn |
| Sep 30, 2025 | 33.86 Mn |
| Jun 30, 2025 | 32.94 Mn |
| Mar 31, 2025 | 31.93 Mn |
| Dec 31, 2024 | 32.81 Mn |
| Sep 30, 2024 | 32.55 Mn |
| Jun 30, 2024 | 32.89 Mn |
| Mar 31, 2024 | 34.56 Mn |
| Dec 31, 2023 | 35.33 Mn |
| Sep 30, 2023 | 33.93 Mn |
| Jun 30, 2023 | 36.08 Mn |
| Mar 31, 2023 | 37.84 Mn |
| Dec 31, 2022 | 40.08 Mn |
| Sep 30, 2022 | 41.46 Mn |
| Jun 30, 2022 | 39.96 Mn |
| Mar 31, 2022 | 46.03 Mn |
API Access
Similarweb Operating Leases 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=operating-leases&ticker=SMWB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SMWB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();