Freshworks (FRSH) Shares Outstanding (Entity) (2020 - 2026)
Freshworks' Shares Outstanding (Entity) was 261.78 million in Q3 2026, down 7.1% from 281.74 million a year earlier and down 0.4% from the prior quarter.
Freshworks (FRSH) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Freshworks came in at 283.43 million, down 6.6% from FY2024.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 303.38 million in FY2024 (+2.3%), 296.7 million in FY2023 (+2.6%), 289.09 million in FY2022 (-32.0%) and 425.05 million in FY2021 (+18.4%).
- The Q3 2026 figure marks the lowest quarterly Shares Outstanding (Entity) in data going back to Q3 2020.
- Compared with a year earlier, Shares Outstanding (Entity) has declined for six straight quarters, with an average decline of 4.7% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q4 2021 (growth of 18.4%); the worst was Q4 2022 (a decline of 32.0%).
- Per Business Quant data, FRSH's Shares Outstanding (Entity) in the three quarters before Q3 2026 was 262.81 million (Q2 2026), 278.98 million (Q1 2026) and 283.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.02 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 823.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 402.34 Mn |
| 10 | Freshworks | 3.18 Bn | 255.15 Mn | 209.44 Mn | 261.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 261.78 Mn |
| Jun 30, 2026 | 262.81 Mn |
| Mar 31, 2026 | 278.98 Mn |
| Dec 31, 2025 | 283.43 Mn |
| Sep 30, 2025 | 281.74 Mn |
| Jun 30, 2025 | 292.04 Mn |
| Mar 31, 2025 | 298.38 Mn |
| Dec 31, 2024 | 303.38 Mn |
| Sep 30, 2024 | 302.58 Mn |
| Jun 30, 2024 | 300.96 Mn |
| Mar 31, 2024 | 298.50 Mn |
| Dec 31, 2023 | 296.70 Mn |
| Sep 30, 2023 | 294.86 Mn |
| Jun 30, 2023 | 292.84 Mn |
| Mar 31, 2023 | 290.54 Mn |
| Dec 31, 2022 | 289.09 Mn |
| Sep 30, 2022 | 287.08 Mn |
| Jun 30, 2022 | 285.56 Mn |
| Mar 31, 2022 | 283.07 Mn |
| Dec 31, 2021 | 392.20 Mn |
Freshworks Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=FRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();