Freshworks (FRSH) Selling, General & Administrative (2020 - 2026)
Freshworks' Selling, General & Administrative came in at $37.92 million for Q2 2026, down 19.4% from $47.03 million a year earlier and down 6.2% from the prior quarter.
Freshworks (FRSH) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Freshworks reported Selling, General & Administrative of $125.17 million, down 33.5% year-over-year; for FY2025, it came in at $141.09 million, down 21.9% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $180.63 million in FY2024 (+7.7%), $167.7 million in FY2023 (+6.9%), $156.85 million in FY2022 (+34.0%) and $117.02 million in FY2021 (+130.4%).
- The five-year range for quarterly Selling, General & Administrative is -$329,000 (Q4 2025) to $60.76 million (Q3 2021).
- Year-over-year, Selling, General & Administrative increased in five of the last seven quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 993.2%), and the weakest in Q3 2022 (a decline of 33.9%).
- Business Quant data shows FRSH's Selling, General & Administrative at $40.43 million (Q1 2026), -$329,000 (Q4 2025) and $47.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 376.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Freshworks | 3.29 Bn | 255.06 Mn | 201.28 Mn | 37.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.92 Mn |
| Mar 31, 2026 | 40.43 Mn |
| Dec 31, 2025 | -329,000.00 |
| Sep 30, 2025 | 47.15 Mn |
| Jun 30, 2025 | 47.03 Mn |
| Mar 31, 2025 | 47.25 Mn |
| Dec 31, 2024 | 47.54 Mn |
| Sep 30, 2024 | 46.50 Mn |
| Jun 30, 2024 | 44.50 Mn |
| Mar 31, 2024 | 42.09 Mn |
| Dec 31, 2023 | 44.99 Mn |
| Sep 30, 2023 | 40.46 Mn |
| Jun 30, 2023 | 41.35 Mn |
| Mar 31, 2023 | 40.90 Mn |
| Dec 31, 2022 | 39.13 Mn |
| Sep 30, 2022 | 40.13 Mn |
| Jun 30, 2022 | 40.41 Mn |
| Mar 31, 2022 | 37.18 Mn |
| Dec 31, 2021 | 40.24 Mn |
| Sep 30, 2021 | 60.76 Mn |
Freshworks Selling, General & Administrative 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=selling-general-and-administrative&ticker=FRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();