Coursera (COUR) EV to FCF (2021 - 2026)
Coursera's (COUR) EV to FCF stood at 16.95 in Q2 2026, up 194.0% from 5.76 a year earlier and up 667.9% from the prior quarter.
Coursera (COUR) EV to FCF (2021 - 2026) Analysis & Trends
On a TTM basis, Coursera's EV to FCF came in at -54.31 as of Jun 30, 2026; for FY2025, it came in at 4.13, down 38.7% from FY2024.
- Across earlier years, EV to FCF came in at 6.74 in FY2024 (-91.6%), 79.95 in FY2023 and 10167.93 in FY2021.
- The Q2 2026 figure is the highest quarterly EV to FCF since Q1 2024.
- On a year-over-year basis, EV to FCF rose in three of the last eight quarters, with an average decline of 10.8%.
- Peak year-over-year performance for EV to FCF in the last five years was growth of 194.0% in Q2 2026, against a decline of 96.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.21 (Q1 2026), 4.13 (Q4 2025) and 9.58 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Coursera | 1.36 Bn | -2.00 Bn | 173.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.95 |
| Mar 31, 2026 | 2.21 |
| Dec 31, 2025 | 4.13 |
| Sep 30, 2025 | 9.58 |
| Jun 30, 2025 | 5.76 |
| Mar 31, 2025 | 3.18 |
| Dec 31, 2024 | 6.74 |
| Sep 30, 2024 | 6.14 |
| Jun 30, 2024 | 5.22 |
| Mar 31, 2024 | 30.37 |
| Dec 31, 2023 | 79.95 |
| Sep 30, 2023 | 186.03 |
| Mar 31, 2023 | 277.35 |
| Dec 31, 2021 | 10,167.93 |
Coursera EV to FCF 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=ev-to-fcf&ticker=COUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();