Monday.Com (MNDY) Other Accumulated Expenses (2022 - 2026)
Monday.Com (MNDY) recorded Other Accumulated Expenses of $27.51 million in the quarter ended Jun 30, 2026, down 7.8% from $29.83 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Monday.Com (MNDY) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Monday.Com reported Other Accumulated Expenses of $25.82 million, up 950.8% from the prior year.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of 10.6% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $2.46 million in the year ended Dec 31, 2024 (-44.1%), $4.4 million in the year ended Dec 31, 2023 (-77.0%) and $19.08 million in the year ended Dec 31, 2022.
- Quarterly Other Accumulated Expenses has ranged from $2.46 million in the quarter ended Dec 31, 2024 to $29.83 million in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 131.2%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 950.8% in the quarter ended Dec 31, 2025, against a decline of 77.0% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.53 million (quarter ended Mar 31, 2026), $25.82 million (quarter ended Dec 31, 2025) and $27.22 million (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 | 27.51 Mn |
| Mar 31, 2026 | 28.53 Mn |
| Dec 31, 2025 | 25.82 Mn |
| Sep 30, 2025 | 27.22 Mn |
| Jun 30, 2025 | 29.83 Mn |
| Mar 31, 2025 | 29.34 Mn |
| Dec 31, 2024 | 2.46 Mn |
| Sep 30, 2024 | 25.64 Mn |
| Jun 30, 2024 | 19.51 Mn |
| Mar 31, 2024 | 18.85 Mn |
| Dec 31, 2023 | 4.40 Mn |
| Sep 30, 2023 | 18.46 Mn |
| Jun 30, 2023 | 18.95 Mn |
| Mar 31, 2023 | 19.63 Mn |
| Dec 31, 2022 | 19.08 Mn |
| Sep 30, 2022 | 16.87 Mn |
| Jun 30, 2022 | 10.89 Mn |
| Mar 31, 2022 | 10.73 Mn |
API Access
Monday.Com Other 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=other-accumulated-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();