Coursera (COUR) Change in Accured Expenses (2020 - 2026)
Coursera (COUR) recorded Change in Accured Expenses of $17.2 million in Q2 2026, up 391.4% from $3.5 million a year earlier.
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Analysis
Coursera (COUR) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Coursera's Change in Accured Expenses came in at $19.9 million as of Jun 30, 2026; for FY2025, it came in at $8 million, up 45.5% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $5.5 million in FY2024 (-83.8%), $34 million in FY2023 (+90.0%), $17.89 million in FY2022 (+9.6%) and $16.32 million in FY2021 (-36.4%).
- Quarterly Change in Accured Expenses has ranged from -$14.2 million in Q1 2026 to $19.44 million in Q1 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 263.3%.
- Per Business Quant, the preceding three quarters came in at -$14.2 million (Q1 2026), -$1.1 million (Q4 2025) and $18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Coursera | 1.38 Bn | -1.98 Bn | 173.40 Mn | 17.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.20 Mn |
| Mar 31, 2026 | -14.20 Mn |
| Dec 31, 2025 | -1.10 Mn |
| Sep 30, 2025 | 18.00 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | -12.40 Mn |
| Dec 31, 2024 | 9.20 Mn |
| Sep 30, 2024 | 200,000.00 |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | -5.00 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 16.71 Mn |
| Jun 30, 2023 | -3.58 Mn |
| Mar 31, 2023 | 19.44 Mn |
| Dec 31, 2022 | -339,000.00 |
| Sep 30, 2022 | 13.77 Mn |
| Jun 30, 2022 | 11.13 Mn |
| Mar 31, 2022 | -6.67 Mn |
| Dec 31, 2021 | 9.05 Mn |
| Sep 30, 2021 | 12.55 Mn |
API Access
Coursera Change in Accured Expenses 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=change-in-accured-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();