Monday.Com (MNDY) Price to Earnings (2024 - 2026)
Monday.Com's Price to Earnings was 30.55 in the quarter ended Jun 30, 2026, down 92.4% from 399.41 a year earlier but up 3.1% from the prior quarter.
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Analysis
Monday.Com (MNDY) Price to Earnings (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Monday.Com came in at 63.58, down 82.8% from the prior year.
- In earlier years, Price to Earnings was 369.27 in the year ended Dec 31, 2024.
- Quarterly Price to Earnings has moved between 29.62 (the quarter ended Mar 31, 2026) and 626.13 (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Price to Earnings has declined for four straight quarters, with an average decline of 59.4% over the last six quarters.
- Per Business Quant data, MNDY's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 29.62 (quarter ended Mar 31, 2026), 63.58 (quarter ended Dec 31, 2025) and 151.17 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Monday.Com | 4.03 Bn | -1.23 Bn | 321.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.55 |
| Mar 31, 2026 | 29.62 |
| Dec 31, 2025 | 63.58 |
| Sep 30, 2025 | 151.17 |
| Jun 30, 2025 | 399.41 |
| Mar 31, 2025 | 234.19 |
| Dec 31, 2024 | 369.27 |
| Sep 30, 2024 | 626.13 |
| Jun 30, 2024 | 285.77 |
| Mar 31, 2024 | 556.19 |
API Access
Monday.Com Price to Earnings 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=price-to-earnings&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();