Freshworks (FRSH) Operating Expenses (2020 - 2026)
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Analysis
Freshworks (FRSH) Operating Expenses (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 12.62 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 8.45 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -20.82 Bn |
| 10 | Freshworks | 3.18 Bn | 255.15 Mn | 209.44 Mn | 181.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 181.21 Mn |
| Jun 30, 2026 | 195.22 Mn |
| Mar 31, 2026 | 202.01 Mn |
| Dec 31, 2025 | 150.84 Mn |
| Sep 30, 2025 | 189.62 Mn |
| Jun 30, 2025 | 182.19 Mn |
| Mar 31, 2025 | 176.81 Mn |
| Dec 31, 2024 | 188.90 Mn |
| Sep 30, 2024 | 195.63 Mn |
| Jun 30, 2024 | 189.74 Mn |
| Mar 31, 2024 | 171.42 Mn |
| Dec 31, 2023 | 173.14 Mn |
| Sep 30, 2023 | 166.02 Mn |
| Jun 30, 2023 | 163.51 Mn |
| Mar 31, 2023 | 160.56 Mn |
| Dec 31, 2022 | 168.62 Mn |
| Sep 30, 2022 | 162.87 Mn |
| Jun 30, 2022 | 164.74 Mn |
| Mar 31, 2022 | 139.37 Mn |
| Dec 31, 2021 | 141.46 Mn |
API Access
Freshworks Operating 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=operating-expenses&ticker=FRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FRSH", "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-expenses&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();