Monday.Com (MNDY) Accumulated Expenses (2020 - 2026)
Monday.Com (MNDY) posted Accumulated Expenses of $247.85 million for the quarter ended Jun 30, 2026, up 24.9% from $198.43 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Monday.Com (MNDY) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Monday.Com's Accumulated Expenses came in at $234.38 million, up 37.0% from the prior year.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 59.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Monday.Com's Accumulated Expenses was $171.04 million in the year ended Dec 31, 2024 (+60.3%), $106.69 million in the year ended Dec 31, 2023 (+44.8%), $73.71 million in the year ended Dec 31, 2022 (+5.1%) and $70.14 million in the year ended Dec 31, 2021 (+205.4%).
- Quarterly Accumulated Expenses has run from a low of $55.24 million in the quarter ended Mar 31, 2022 to a high of $252.19 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 17 quarters, with growth averaging 42.9% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 5.1% (the quarter ended Dec 31, 2022) and 205.4% (the quarter ended Dec 31, 2021) over the last five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $252.19 million (quarter ended Mar 31, 2026), $234.38 million (quarter ended Dec 31, 2025) and $218.3 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Monday.Com | 4.11 Bn | -1.15 Bn | 321.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.85 Mn |
| Mar 31, 2026 | 252.19 Mn |
| Dec 31, 2025 | 234.38 Mn |
| Sep 30, 2025 | 218.30 Mn |
| Jun 30, 2025 | 198.43 Mn |
| Mar 31, 2025 | 203.94 Mn |
| Dec 31, 2024 | 171.04 Mn |
| Sep 30, 2024 | 155.42 Mn |
| Jun 30, 2024 | 137.22 Mn |
| Mar 31, 2024 | 134.68 Mn |
| Dec 31, 2023 | 106.69 Mn |
| Sep 30, 2023 | 96.51 Mn |
| Jun 30, 2023 | 89.74 Mn |
| Mar 31, 2023 | 85.02 Mn |
| Dec 31, 2022 | 73.71 Mn |
| Sep 30, 2022 | 75.96 Mn |
| Jun 30, 2022 | 68.24 Mn |
| Mar 31, 2022 | 55.24 Mn |
| Dec 31, 2021 | 70.14 Mn |
| Sep 30, 2021 | 64.46 Mn |
API Access
Monday.Com Accumulated 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=accumulated-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();