Freshworks (FRSH) Shares Outstanding (Diluted) (2020 - 2026)
Freshworks (FRSH) recorded Weighted Average Shares Outstanding (Diluted) of 266.4 million in Q3 2026, down 6.9% from 286.16 million a year earlier and down 2.4% from the prior quarter.
Freshworks (FRSH) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Freshworks reported Weighted Average Shares Outstanding (Diluted) of 293.77 million, down 2.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 300.84 million in FY2024 (+2.6%), 293.09 million in FY2023 (+3.0%), 284.59 million in FY2022 (+117.8%) and 130.65 million in FY2021 (+69.8%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2021.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for six consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 266.2% in Q2 2022, against a decline of 7.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 272.99 million (Q2 2026), 283.34 million (Q1 2026) and 293.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.00 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 403.30 Mn |
| 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 | 277.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.84 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Freshworks | 3.18 Bn | 255.15 Mn | 209.44 Mn | 266.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 266.40 Mn |
| Jun 30, 2026 | 272.99 Mn |
| Mar 31, 2026 | 283.34 Mn |
| Dec 31, 2025 | 293.77 Mn |
| Sep 30, 2025 | 286.16 Mn |
| Jun 30, 2025 | 294.44 Mn |
| Mar 31, 2025 | 301.28 Mn |
| Dec 31, 2024 | 300.84 Mn |
| Sep 30, 2024 | 302.10 Mn |
| Jun 30, 2024 | 299.81 Mn |
| Mar 31, 2024 | 297.87 Mn |
| Dec 31, 2023 | 293.09 Mn |
| Sep 30, 2023 | 294.15 Mn |
| Jun 30, 2023 | 292.00 Mn |
| Mar 31, 2023 | 290.13 Mn |
| Dec 31, 2022 | 284.59 Mn |
| Sep 30, 2022 | 286.70 Mn |
| Jun 30, 2022 | 284.76 Mn |
| Mar 31, 2022 | 278.19 Mn |
| Dec 31, 2021 | 130.65 Mn |
Freshworks Shares Outstanding (Diluted) 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-diluted&ticker=FRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();