Monday.Com (MNDY) Total Liabilities (2020 - 2026)
Monday.Com's Total Liabilities was $1 billion in the quarter ended Jun 30, 2026, up 29.9% from $771.59 million a year earlier and up 7.3% from the prior quarter.
Monday.Com (MNDY) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Monday.Com came in at $859.76 million, up 31.2% from the prior year.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 18.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $655.28 million in the year ended Dec 31, 2024 (+41.8%), $462.15 million in the year ended Dec 31, 2023 (+28.6%), $359.3 million in the year ended Dec 31, 2022 (+56.4%) and $229.8 million in the year ended Dec 31, 2021 (-38.7%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Total Liabilities in data going back to the quarter ended Dec 31, 2020.
- Compared with a year earlier, Total Liabilities has increased for 17 straight quarters, with growth averaging 34.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Sep 30, 2022 (growth of 74.6%); the worst was the quarter ended Dec 31, 2021 (a decline of 38.7%).
- Per Business Quant data, MNDY's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $933.51 million (quarter ended Mar 31, 2026), $859.76 million (quarter ended Dec 31, 2025) and $791.33 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Monday.Com | 4.04 Bn | -1.22 Bn | 321.96 Mn | 1.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 933.51 Mn |
| Dec 31, 2025 | 859.76 Mn |
| Sep 30, 2025 | 791.33 Mn |
| Jun 30, 2025 | 771.59 Mn |
| Mar 31, 2025 | 745.03 Mn |
| Dec 31, 2024 | 655.28 Mn |
| Sep 30, 2024 | 613.99 Mn |
| Jun 30, 2024 | 560.08 Mn |
| Mar 31, 2024 | 534.92 Mn |
| Dec 31, 2023 | 462.15 Mn |
| Sep 30, 2023 | 437.99 Mn |
| Jun 30, 2023 | 419.58 Mn |
| Mar 31, 2023 | 402.39 Mn |
| Dec 31, 2022 | 359.30 Mn |
| Sep 30, 2022 | 358.57 Mn |
| Jun 30, 2022 | 317.66 Mn |
| Mar 31, 2022 | 297.39 Mn |
| Dec 31, 2021 | 229.80 Mn |
| Sep 30, 2021 | 205.39 Mn |
Monday.Com Total Liabilities 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=total-liabilities&ticker=MNDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();