Coursera (COUR) Total Non-Current Liabilities (2020 - 2026)
Coursera's Total Non-Current Liabilities came in at $771.1 million for Q2 2026, up 121.6% from $348 million a year earlier and up 111.9% from the prior quarter.
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Analysis
Coursera (COUR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Coursera's Total Non-Current Liabilities was $359.3 million, up 9.2% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $329.1 million in FY2024 (+9.3%), $301.15 million in FY2023 (+19.8%), $251.31 million in FY2022 (+15.9%) and $216.84 million in FY2021 (-66.1%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for 17 consecutive quarters, with growth averaging 23.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 121.6%), and the weakest in Q1 2022 (a decline of 66.1%).
- Business Quant data shows COUR's Total Non-Current Liabilities at $363.9 million (Q1 2026), $359.3 million (Q4 2025) and $351.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Coursera | 1.28 Bn | -2.08 Bn | 173.40 Mn | 771.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 771.10 Mn |
| Mar 31, 2026 | 363.90 Mn |
| Dec 31, 2025 | 359.30 Mn |
| Sep 30, 2025 | 351.10 Mn |
| Jun 30, 2025 | 348.00 Mn |
| Mar 31, 2025 | 339.80 Mn |
| Dec 31, 2024 | 329.10 Mn |
| Sep 30, 2024 | 319.26 Mn |
| Jun 30, 2024 | 317.64 Mn |
| Mar 31, 2024 | 304.78 Mn |
| Dec 31, 2023 | 301.15 Mn |
| Sep 30, 2023 | 299.28 Mn |
| Jun 30, 2023 | 290.54 Mn |
| Mar 31, 2023 | 281.31 Mn |
| Dec 31, 2022 | 251.31 Mn |
| Sep 30, 2022 | 246.39 Mn |
| Jun 30, 2022 | 235.69 Mn |
| Mar 31, 2022 | 217.22 Mn |
| Dec 31, 2021 | 216.84 Mn |
| Sep 30, 2021 | 198.30 Mn |
API Access
Coursera Total Non-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-non-current-liabilities&ticker=COUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();