Monday.Com (MNDY) Receivables (2020 - 2026)
Monday.Com (MNDY) recorded Receivables of $32.89 million in the quarter ended Jun 30, 2026, down 9.3% from $36.28 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Monday.Com (MNDY) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Monday.Com reported Receivables of $30.66 million, up 11.9% from the prior year.
- Annual Receivables has increased for five straight years, with a five-year compound annual growth rate of 51.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $27.39 million in the year ended Dec 31, 2024 (+13.0%), $24.25 million in the year ended Dec 31, 2023 (+83.3%), $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 has ranged from $6.96 million in the quarter ended Sep 30, 2021 to $36.28 million in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Receivables rose in seven of the last eight quarters, with growth averaging 35.4%.
- Peak year-over-year performance for Receivables in the last five years was growth of 117.9% in the quarter ended Jun 30, 2022, against a decline of 9.3% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.37 million (quarter ended Mar 31, 2026), $30.66 million (quarter ended Dec 31, 2025) and $32.71 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 760.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 684.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Monday.Com | 4.04 Bn | -1.22 Bn | 321.96 Mn | 32.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.89 Mn |
| Mar 31, 2026 | 34.37 Mn |
| Dec 31, 2025 | 30.66 Mn |
| Sep 30, 2025 | 32.71 Mn |
| Jun 30, 2025 | 36.28 Mn |
| Mar 31, 2025 | 26.44 Mn |
| Dec 31, 2024 | 27.39 Mn |
| Sep 30, 2024 | 20.63 Mn |
| Jun 30, 2024 | 19.60 Mn |
| Mar 31, 2024 | 18.31 Mn |
| Dec 31, 2023 | 24.25 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 |
API Access
Monday.Com Receivables 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&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();