Monday.Com (MNDY) Cost of Revenue (2020 - 2026)
Monday.Com (MNDY) reported Cost of Revenue of $42.66 million for the quarter ended Jun 30, 2026, up 36.9% from $31.17 million a year earlier and up 11.9% from the prior quarter.
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Monday.Com (MNDY) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Monday.Com's Cost of Revenue came in at $153.91 million, up 32.2% year-over-year; for the year ended Dec 31, 2025, it was $133.1 million, up 28.4% from the prior year.
- Cost of Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 42.7% (years ended Dec 2020 to Dec 2025).
- By year, Cost of Revenue came in at $103.69 million in the year ended Dec 31, 2024 (+28.6%), $80.65 million in the year ended Dec 31, 2023 (+21.2%), $66.53 million in the year ended Dec 31, 2022 (+70.5%) and $39.01 million in the year ended Dec 31, 2021 (+73.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Cost of Revenue in data going back to the quarter ended Jun 30, 2020.
- Year over year, Cost of Revenue has now increased in each of the last 21 quarters, with growth averaging 29.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 16.5% in the quarter ended Mar 31, 2023 to 84.4% in the quarter ended Mar 31, 2022.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $38.12 million (quarter ended Mar 31, 2026), $37.33 million (quarter ended Dec 31, 2025) and $35.79 million (quarter ended Sep 30, 2025).
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Monday.Com Cost of Revenue 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=cost-of-revenue&ticker=MNDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MNDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();