Monday.Com (MNDY) Operating Expenses (2020 - 2026)
Monday.Com (MNDY) recorded Operating Expenses of $323.5 million in the quarter ended Jun 30, 2026, up 15.8% from $279.39 million a year earlier and up 10.3% from the prior quarter.
Monday.Com (MNDY) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Monday.Com's Operating Expenses came in at $1.19 billion as of Jun 30, 2026, up 19.1% year-over-year; for the year ended Dec 31, 2025, it came in at $1.1 billion, up 23.8% from the prior year.
- Annual Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 30.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Expenses came in at $889.34 million in the year ended Dec 31, 2024 (+29.3%), $687.64 million in the year ended Dec 31, 2023 (+13.7%), $604.52 million in the year ended Dec 31, 2022 (+52.9%) and $395.26 million in the year ended Dec 31, 2021 (+36.7%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Expenses in data going back to the quarter ended Jun 30, 2020.
- On a year-over-year basis, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 25.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 4.1% in the quarter ended Mar 31, 2023 to 81.5% in the quarter ended Mar 31, 2022.
- Per Business Quant, the preceding three quarters came in at $293.39 million (quarter ended Mar 31, 2026), $294.16 million (quarter ended Dec 31, 2025) and $283.45 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 91.17 Bn | 66.42 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 45.78 Bn | 39.06 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.66 Bn | 34.66 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 42.46 Bn | 30.50 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.83 Bn | -4.96 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 11.00 Bn | 4.50 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.18 Bn | 2.82 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.45 Bn | 4.92 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.23 Bn | 5.73 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Monday.Com | 3.89 Bn | -1.37 Bn | 321.96 Mn | 323.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 323.50 Mn |
| Mar 31, 2026 | 293.39 Mn |
| Dec 31, 2025 | 294.16 Mn |
| Sep 30, 2025 | 283.45 Mn |
| Jun 30, 2025 | 279.39 Mn |
| Mar 31, 2025 | 243.65 Mn |
| Dec 31, 2024 | 227.88 Mn |
| Sep 30, 2024 | 252.43 Mn |
| Jun 30, 2024 | 210.55 Mn |
| Mar 31, 2024 | 198.48 Mn |
| Dec 31, 2023 | 181.31 Mn |
| Sep 30, 2023 | 170.00 Mn |
| Jun 30, 2023 | 168.33 Mn |
| Mar 31, 2023 | 167.99 Mn |
| Dec 31, 2022 | 142.66 Mn |
| Sep 30, 2022 | 147.30 Mn |
| Jun 30, 2022 | 153.17 Mn |
| Mar 31, 2022 | 161.38 Mn |
| Dec 31, 2021 | 115.38 Mn |
| Sep 30, 2021 | 102.02 Mn |
Monday.Com Operating Expenses 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=operating-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();