Monday.Com (MNDY) Shares Outstanding (2020 - 2026)
Monday.Com's Shares Outstanding came in at 51.44 million for the quarter ended Jun 30, 2026, up 3.1% from 49.91 million a year earlier and unchanged from the prior quarter.
Monday.Com (MNDY) Shares Outstanding (2020 - 2026) Analysis & Trends
Going back to the quarter ended Jun 30, 2020, Monday.Com's Shares Outstanding data covers 25 quarters.
- Shares Outstanding has increased in each of the last six years, with a five-year compound annual growth rate of 33.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Shares Outstanding was 49.91 million in the year ended Dec 31, 2024 (+3.2%), 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%).
- Year-over-year, Shares Outstanding has increased for 21 consecutive quarters, with growth averaging 3.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 3.1% in the quarter ended Dec 31, 2025 to 151.7% in the quarter ended Sep 30, 2022.
- Business Quant data shows MNDY's Shares Outstanding at 51.44 million (quarter ended Mar 31, 2026), 51.44 million (quarter ended Dec 31, 2025) and 49.91 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 395.00 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 260.16 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 152.79 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 210.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 292.88 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 527.46 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 224.80 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 62.33 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 84.05 Mn |
| 10 | Monday.Com | 4.01 Bn | -1.25 Bn | 321.96 Mn | 51.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.44 Mn |
| Mar 31, 2026 | 51.44 Mn |
| Dec 31, 2025 | 51.44 Mn |
| Sep 30, 2025 | 49.91 Mn |
| Jun 30, 2025 | 49.91 Mn |
| Mar 31, 2025 | 49.91 Mn |
| Dec 31, 2024 | 49.91 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 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&ticker=MNDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();