Freshworks (FRSH) Operating Expenses (2020 - 2026)
Freshworks (FRSH) reported Operating Expenses of $195.22 million for Q2 2026, up 7.2% from $182.19 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Freshworks (FRSH) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Freshworks' Operating Expenses came in at $737.68 million, down 0.8% year-over-year; for FY2025, it was $699.46 million, down 6.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $745.7 million in FY2024 (+12.4%), $663.24 million in FY2023 (+4.3%), $635.6 million in FY2022 (+27.7%) and $497.77 million in FY2021 (+96.5%).
- Five-year quarterly Operating Expenses spans a low of $139.37 million in Q1 2022 and a high of $214.63 million in Q3 2021.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 3.0%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 305.2%); the low point was Q3 2022 (a decline of 24.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $202.01 million (Q1 2026), $150.84 million (Q4 2025) and $189.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Freshworks | 3.29 Bn | 255.06 Mn | 201.28 Mn | 195.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 214.63 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();