Monday.Com (MNDY) Shares Outstanding (Diluted) (2020 - 2026)
Monday.Com (MNDY) posted Shares Outstanding (Diluted) of 53.09 million for the quarter ended Jun 30, 2026, up 1.3% from 52.42 million a year earlier and unchanged from the prior quarter.
Monday.Com (MNDY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Since the quarter ended Dec 31, 2020, Monday.Com has reported Shares Outstanding (Diluted) for 23 quarters.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 34.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Monday.Com's Shares Outstanding (Diluted) was 52.42 million in the year ended Dec 31, 2024 (+8.4%), 48.37 million in the year ended Dec 31, 2023 (+5.6%), 45.8 million in the year ended Dec 31, 2022 (+51.0%) and 30.33 million in the year ended Dec 31, 2021 (+151.7%).
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 19 quarters, with growth averaging 5.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 1.3% in the quarter ended Dec 31, 2025 to 151.7% in the quarter ended Sep 30, 2022.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 53.09 million (quarter ended Mar 31, 2026), 53.09 million (quarter ended Dec 31, 2025) and 52.42 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | 260.16 Mn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 159.71 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 211.00 Mn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | 299.75 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | 527.46 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 226.80 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 63.32 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 86.62 Mn |
| 10 | Monday.Com | 4.11 Bn | -1.15 Bn | 321.96 Mn | 53.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.09 Mn |
| Mar 31, 2026 | 53.09 Mn |
| Dec 31, 2025 | 53.09 Mn |
| Sep 30, 2025 | 52.42 Mn |
| Jun 30, 2025 | 52.42 Mn |
| Mar 31, 2025 | 52.42 Mn |
| Dec 31, 2024 | 52.42 Mn |
| Sep 30, 2024 | 48.37 Mn |
| Jun 30, 2024 | 48.37 Mn |
| Mar 31, 2024 | 48.37 Mn |
| Dec 31, 2023 | 48.37 Mn |
| Sep 30, 2023 | 45.80 Mn |
| Jun 30, 2023 | 45.80 Mn |
| Mar 31, 2023 | 45.80 Mn |
| Dec 31, 2022 | 45.80 Mn |
| Sep 30, 2022 | 30.33 Mn |
| Jun 30, 2022 | 30.33 Mn |
| Mar 31, 2022 | 30.33 Mn |
| Dec 31, 2021 | 30.33 Mn |
| Sep 30, 2021 | 12.05 Mn |
Monday.Com 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=MNDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MNDY", "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=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();