Coursera (COUR) Cash & Equivalents (2020 - 2026)
Coursera's Cash & Equivalents was $871.7 million in Q2 2026, up 12.4% from $775.8 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Coursera (COUR) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Coursera came in at $792.6 million, up 8.8% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 57.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $728.4 million in FY2024 (+11.0%), $656.3 million in FY2023 (+103.3%), $322.9 million in FY2022 (-44.6%) and $582.72 million in FY2021 (+607.0%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q1 2020.
- Compared with a year earlier, Cash & Equivalents has increased for 12 straight quarters, with growth averaging 12.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 673.7%); the worst was Q2 2022 (a decline of 49.3%).
- Per Business Quant data, COUR's Cash & Equivalents in the three quarters before Q2 2026 was $789.8 million (Q1 2026), $792.6 million (Q4 2025) and $797.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Coursera | 1.38 Bn | -1.98 Bn | 173.40 Mn | 871.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 871.70 Mn |
| Mar 31, 2026 | 789.80 Mn |
| Dec 31, 2025 | 792.60 Mn |
| Sep 30, 2025 | 797.70 Mn |
| Jun 30, 2025 | 775.80 Mn |
| Mar 31, 2025 | 748.70 Mn |
| Dec 31, 2024 | 728.40 Mn |
| Sep 30, 2024 | 721.70 Mn |
| Jun 30, 2024 | 710.50 Mn |
| Mar 31, 2024 | 727.20 Mn |
| Dec 31, 2023 | 656.30 Mn |
| Sep 30, 2023 | 508.92 Mn |
| Jun 30, 2023 | 364.54 Mn |
| Mar 31, 2023 | 269.35 Mn |
| Dec 31, 2022 | 322.90 Mn |
| Sep 30, 2022 | 424.80 Mn |
| Jun 30, 2022 | 380.01 Mn |
| Mar 31, 2022 | 361.32 Mn |
| Dec 31, 2021 | 582.72 Mn |
| Sep 30, 2021 | 801.07 Mn |
API Access
Coursera Cash & Equivalents 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=cash-and-equivalents&ticker=COUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();