Monday.Com (MNDY) Receivables - Net (2020 - 2026)
Monday.Com's Receivables - Net was $32.89 million in the quarter ended Jun 30, 2026, down 9.1% from $36.2 million a year earlier and down 4.3% from the prior quarter.
Monday.Com (MNDY) Receivables - Net (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables - Net at Monday.Com came in at $30.55 million, up 18.4% from the prior year.
- Receivables - Net has now increased for five consecutive years, with a five-year compound annual growth rate of 50.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables - Net was $25.8 million in the year ended Dec 31, 2024 (+44.1%), $17.91 million in the year ended Dec 31, 2023 (+35.4%), $13.23 million in the year ended Dec 31, 2022 (+55.4%) and $8.51 million in the year ended Dec 31, 2021 (+117.6%).
- Quarterly Receivables - Net has moved between $6.96 million (the quarter ended Sep 30, 2021) and $36.2 million (the quarter ended Jun 30, 2025) over five years.
- Compared with a year earlier, Receivables - Net was higher in seven of the last eight quarters, with growth averaging 40.0%.
- The best year-over-year quarter for Receivables - Net over five years was the quarter ended Jun 30, 2022 (growth of 117.9%); the worst was the quarter ended Jun 30, 2026 (a decline of 9.1%).
- Per Business Quant data, MNDY's Receivables - Net in the three quarters before the quarter ended Jun 30, 2026 was $34.37 million (quarter ended Mar 31, 2026), $30.55 million (quarter ended Dec 31, 2025) and $32.71 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.89 Mn |
| Mar 31, 2026 | 34.37 Mn |
| Dec 31, 2025 | 30.55 Mn |
| Sep 30, 2025 | 32.71 Mn |
| Jun 30, 2025 | 36.20 Mn |
| Mar 31, 2025 | 26.44 Mn |
| Dec 31, 2024 | 25.80 Mn |
| Sep 30, 2024 | 20.63 Mn |
| Jun 30, 2024 | 19.60 Mn |
| Mar 31, 2024 | 18.31 Mn |
| Dec 31, 2023 | 17.91 Mn |
| Sep 30, 2023 | 13.81 Mn |
| Jun 30, 2023 | 15.14 Mn |
| Mar 31, 2023 | 18.99 Mn |
| Dec 31, 2022 | 13.23 Mn |
| Sep 30, 2022 | 14.47 Mn |
| Jun 30, 2022 | 9.51 Mn |
| Mar 31, 2022 | 9.89 Mn |
| Dec 31, 2021 | 8.51 Mn |
| Sep 30, 2021 | 6.96 Mn |
Monday.Com Receivables - Net 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=receivables-net&ticker=MNDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();