Coursera (COUR) Total Current Liabilities (2020 - 2026)
Coursera's Total Current Liabilities was $768.1 million in Q2 2026, up 121.9% from $346.2 million a year earlier and up 111.9% from the prior quarter.
Coursera (COUR) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Coursera came in at $357.9 million, up 9.3% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $327.5 million in FY2024 (+9.8%), $298.26 million in FY2023 (+23.0%), $242.44 million in FY2022 (+20.5%) and $201.12 million in FY2021 (+30.9%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities has increased for 19 straight quarters, with growth averaging 23.4% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 6.5% (Q3 2024) and 121.9% (Q2 2026) over the last five years.
- Per Business Quant data, COUR's Total Current Liabilities in the three quarters before Q2 2026 was $362.4 million (Q1 2026), $357.9 million (Q4 2025) and $349.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Coursera | 1.27 Bn | -2.09 Bn | 173.40 Mn | 768.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 768.10 Mn |
| Mar 31, 2026 | 362.40 Mn |
| Dec 31, 2025 | 357.90 Mn |
| Sep 30, 2025 | 349.50 Mn |
| Jun 30, 2025 | 346.20 Mn |
| Mar 31, 2025 | 334.50 Mn |
| Dec 31, 2024 | 327.50 Mn |
| Sep 30, 2024 | 314.81 Mn |
| Jun 30, 2024 | 315.90 Mn |
| Mar 31, 2024 | 302.59 Mn |
| Dec 31, 2023 | 298.26 Mn |
| Sep 30, 2023 | 295.64 Mn |
| Jun 30, 2023 | 284.68 Mn |
| Mar 31, 2023 | 273.84 Mn |
| Dec 31, 2022 | 242.44 Mn |
| Sep 30, 2022 | 235.73 Mn |
| Jun 30, 2022 | 224.31 Mn |
| Mar 31, 2022 | 203.84 Mn |
| Dec 31, 2021 | 201.12 Mn |
| Sep 30, 2021 | 181.45 Mn |
Coursera Total Current Liabilities 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=total-current-liabilities&ticker=COUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();