Coursera (COUR) Receivables (2020 - 2026)
Coursera (COUR) reported Receivables of $170.8 million for Q2 2026, up 124.1% from $76.2 million a year earlier and up 129.9% from the prior quarter.
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Analysis
Coursera (COUR) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Coursera posted Receivables of $72.8 million, up 13.8% from FY2024.
- Receivables has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- By year, Receivables came in at $64 million in FY2024 (-11.6%), $72.43 million in FY2023 (+16.6%), $62.13 million in FY2022 (+33.6%) and $46.51 million in FY2021 (+12.2%).
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q4 2020.
- Year over year, Receivables has now increased in each of the last six quarters, with growth averaging 20.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2026 (growth of 124.1%); the low point was Q3 2024 (a decline of 19.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $74.3 million (Q1 2026), $72.8 million (Q4 2025) and $70.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Coursera | 1.27 Bn | -2.09 Bn | 173.40 Mn | 170.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.80 Mn |
| Mar 31, 2026 | 74.30 Mn |
| Dec 31, 2025 | 72.80 Mn |
| Sep 30, 2025 | 70.60 Mn |
| Jun 30, 2025 | 76.20 Mn |
| Mar 31, 2025 | 71.80 Mn |
| Dec 31, 2024 | 64.00 Mn |
| Sep 30, 2024 | 55.42 Mn |
| Jun 30, 2024 | 64.69 Mn |
| Mar 31, 2024 | 67.60 Mn |
| Dec 31, 2023 | 72.43 Mn |
| Sep 30, 2023 | 68.56 Mn |
| Jun 30, 2023 | 78.92 Mn |
| Mar 31, 2023 | 79.84 Mn |
| Dec 31, 2022 | 62.13 Mn |
| Sep 30, 2022 | 60.19 Mn |
| Jun 30, 2022 | 61.90 Mn |
| Mar 31, 2022 | 63.84 Mn |
| Dec 31, 2021 | 46.51 Mn |
| Sep 30, 2021 | 41.01 Mn |
API Access
Coursera 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=COUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();