Chegg (CHGG) Shares Outstanding (Diluted) (2013 - 2026)
Chegg (CHGG) recorded Weighted Average Shares Outstanding (Diluted) of 111.42 million in Q3 2026, up 2.7% from 108.45 million a year earlier and unchanged from the prior quarter.
Chegg (CHGG) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Chegg reported Weighted Average Shares Outstanding (Diluted) of 107.48 million, up 4.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 103.3 million in FY2024 (-19.7%), 128.57 million in FY2023 (-14.2%), 149.86 million in FY2022 (+6.1%) and 141.26 million in FY2021 (+12.7%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 102.34 million in Q1 2024 to 149.86 million in Q4 2022 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 12.7% in Q4 2021, against a decline of 22.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 111.42 million (Q2 2026), 112.13 million (Q1 2026) and 107.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 592.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 59.00 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 317.69 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 233.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.90 Mn |
| 10 | Chegg | 67.51 Mn | -49.00 Mn | 24.24 Mn | 111.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 111.42 Mn |
| Jun 30, 2026 | 111.42 Mn |
| Mar 31, 2026 | 112.13 Mn |
| Dec 31, 2025 | 107.48 Mn |
| Sep 30, 2025 | 108.45 Mn |
| Jun 30, 2025 | 106.91 Mn |
| Mar 31, 2025 | 105.16 Mn |
| Dec 31, 2024 | 103.30 Mn |
| Sep 30, 2024 | 103.72 Mn |
| Jun 30, 2024 | 102.60 Mn |
| Mar 31, 2024 | 102.34 Mn |
| Dec 31, 2023 | 128.57 Mn |
| Sep 30, 2023 | 115.41 Mn |
| Jun 30, 2023 | 132.94 Mn |
| Mar 31, 2023 | 124.30 Mn |
| Dec 31, 2022 | 149.86 Mn |
| Sep 30, 2022 | 148.05 Mn |
| Jun 30, 2022 | 149.57 Mn |
| Mar 31, 2022 | 133.27 Mn |
| Dec 31, 2021 | 141.26 Mn |
Chegg 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=CHGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CHGG", "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=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();