Monday.Com (MNDY) Operating Leases (2022 - 2026)
Monday.Com's Operating Leases came in at $209.98 million for the quarter ended Jun 30, 2026, up 117.9% from $96.38 million a year earlier and up 40.9% from the prior quarter.
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Analysis
Monday.Com (MNDY) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Monday.Com's Operating Leases was $142.95 million, up 85.6% from the prior year.
- Operating Leases carries a three-year compound annual growth rate of 34.6% (years ended Dec 2022 to Dec 2025).
- Going back by year, Operating Leases was $77.02 million in the year ended Dec 31, 2024 (+79.3%), $42.95 million in the year ended Dec 31, 2023 (-26.8%) and $58.64 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Operating Leases in data going back to the quarter ended Mar 31, 2022.
- Year-over-year, Operating Leases has increased for eight consecutive quarters, with growth averaging 90.5% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Jun 30, 2025 (growth of 158.2%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 32.3%).
- Business Quant data shows MNDY's Operating Leases at $149.05 million (quarter ended Mar 31, 2026), $142.95 million (quarter ended Dec 31, 2025) and $92.05 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Monday.Com | 4.04 Bn | -1.22 Bn | 321.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.98 Mn |
| Mar 31, 2026 | 149.05 Mn |
| Dec 31, 2025 | 142.95 Mn |
| Sep 30, 2025 | 92.05 Mn |
| Jun 30, 2025 | 96.38 Mn |
| Mar 31, 2025 | 93.20 Mn |
| Dec 31, 2024 | 77.02 Mn |
| Sep 30, 2024 | 65.44 Mn |
| Jun 30, 2024 | 37.34 Mn |
| Mar 31, 2024 | 39.04 Mn |
| Dec 31, 2023 | 42.95 Mn |
| Sep 30, 2023 | 45.46 Mn |
| Jun 30, 2023 | 50.40 Mn |
| Mar 31, 2023 | 55.06 Mn |
| Dec 31, 2022 | 58.64 Mn |
| Sep 30, 2022 | 67.15 Mn |
| Jun 30, 2022 | 47.70 Mn |
| Mar 31, 2022 | 51.10 Mn |
API Access
Monday.Com Operating Leases 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-leases&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();