Coursera (COUR) Revenue (2020 - 2026)
Coursera's Revenue came in at $298.6 million for Q2 2026, up 59.6% from $187.1 million a year earlier and up 52.6% from the prior quarter.
Coursera (COUR) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Coursera reported Revenue of $885.4 million, up 22.7% year-over-year; for FY2025, it was $757.5 million, up 9.0% from FY2024.
- Revenue has increased in each of the last six years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- Going back by year, Revenue was $694.7 million in FY2024 (+9.3%), $635.8 million in FY2023 (+21.4%), $523.76 million in FY2022 (+26.1%) and $415.29 million in FY2021 (+41.5%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q1 2020.
- Year-over-year, Revenue has increased for 22 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 6.0% (Q1 2025) to 59.6% (Q2 2026).
- Business Quant data shows COUR's Revenue at $195.7 million (Q1 2026), $196.9 million (Q4 2025) and $194.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Coursera | 1.27 Bn | -2.09 Bn | 173.40 Mn | 298.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.60 Mn |
| Mar 31, 2026 | 195.70 Mn |
| Dec 31, 2025 | 196.90 Mn |
| Sep 30, 2025 | 194.20 Mn |
| Jun 30, 2025 | 187.10 Mn |
| Mar 31, 2025 | 179.30 Mn |
| Dec 31, 2024 | 179.20 Mn |
| Sep 30, 2024 | 176.10 Mn |
| Jun 30, 2024 | 170.30 Mn |
| Mar 31, 2024 | 169.10 Mn |
| Dec 31, 2023 | 168.92 Mn |
| Sep 30, 2023 | 165.54 Mn |
| Jun 30, 2023 | 153.70 Mn |
| Mar 31, 2023 | 147.64 Mn |
| Dec 31, 2022 | 142.18 Mn |
| Sep 30, 2022 | 136.39 Mn |
| Jun 30, 2022 | 124.75 Mn |
| Mar 31, 2022 | 120.43 Mn |
| Dec 31, 2021 | 114.96 Mn |
| Sep 30, 2021 | 109.88 Mn |
Coursera 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=revenue&ticker=COUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "COUR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();