Freshworks (FRSH) Other Operating Expenses (2020 - 2026)
Freshworks (FRSH) reported Other Operating Expenses of $106.45 million for Q2 2026, up 11.8% from $95.22 million a year earlier but down 5.2% from the prior quarter.
Freshworks (FRSH) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Freshworks' Other Operating Expenses came in at $429.14 million, up 14.1% year-over-year; for FY2025, it was $394.75 million, up 1.0% from FY2024.
- Other Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $390.78 million in FY2024 (+9.2%), $357.78 million in FY2023 (+4.2%), $343.21 million in FY2022 (+31.8%) and $260.35 million in FY2021 (+95.3%).
- Five-year quarterly Other Operating Expenses spans a low of $71.47 million in Q1 2022 and a high of $112.32 million in Q1 2026.
- Year over year, Other Operating Expenses has now increased in each of the last three quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 183.3%); the low point was Q3 2022 (a decline of 10.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $112.32 million (Q1 2026), $109.36 million (Q4 2025) and $101.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - |
| 10 | Freshworks | 3.85 Bn | 808.80 Mn | 201.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.45 Mn |
| Mar 31, 2026 | 112.32 Mn |
| Dec 31, 2025 | 109.36 Mn |
| Sep 30, 2025 | 101.01 Mn |
| Jun 30, 2025 | 95.22 Mn |
| Mar 31, 2025 | 89.16 Mn |
| Dec 31, 2024 | 90.64 Mn |
| Sep 30, 2024 | 101.25 Mn |
| Jun 30, 2024 | 104.25 Mn |
| Mar 31, 2024 | 94.64 Mn |
| Dec 31, 2023 | 92.32 Mn |
| Sep 30, 2023 | 90.67 Mn |
| Jun 30, 2023 | 87.98 Mn |
| Mar 31, 2023 | 86.81 Mn |
| Dec 31, 2022 | 94.84 Mn |
| Sep 30, 2022 | 86.87 Mn |
| Jun 30, 2022 | 90.04 Mn |
| Mar 31, 2022 | 71.47 Mn |
| Dec 31, 2021 | 72.19 Mn |
| Sep 30, 2021 | 96.79 Mn |
Freshworks Other 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=other-operating-expenses&ticker=FRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();