Coursera (COUR) Operating Expenses (2020 - 2026)
Coursera (COUR) posted Operating Expenses of $258.1 million for Q2 2026, up 119.1% from $117.8 million a year earlier and up 92.8% from the prior quarter.
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Analysis
Coursera (COUR) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Coursera was $652.7 million, up 37.7% year-over-year; for FY2025, it was $490.8 million, up 1.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In prior years, Coursera's Operating Expenses was $484.6 million in FY2024 (+1.9%), $475.4 million in FY2023 (-6.6%), $508.86 million in FY2022 (+29.6%) and $392.53 million in FY2021 (+77.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 18.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 119.1%; the weakest was Q4 2023, with a decline of 18.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $133.9 million (Q1 2026), $139.1 million (Q4 2025) and $121.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Coursera | 1.27 Bn | -2.09 Bn | 173.40 Mn | 258.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258.10 Mn |
| Mar 31, 2026 | 133.90 Mn |
| Dec 31, 2025 | 139.10 Mn |
| Sep 30, 2025 | 121.60 Mn |
| Jun 30, 2025 | 117.80 Mn |
| Mar 31, 2025 | 112.30 Mn |
| Dec 31, 2024 | 126.00 Mn |
| Sep 30, 2024 | 117.90 Mn |
| Jun 30, 2024 | 121.40 Mn |
| Mar 31, 2024 | 119.30 Mn |
| Dec 31, 2023 | 117.92 Mn |
| Sep 30, 2023 | 122.86 Mn |
| Jun 30, 2023 | 118.08 Mn |
| Mar 31, 2023 | 116.55 Mn |
| Dec 31, 2022 | 143.90 Mn |
| Sep 30, 2022 | 123.92 Mn |
| Jun 30, 2022 | 126.24 Mn |
| Mar 31, 2022 | 114.80 Mn |
| Dec 31, 2021 | 118.78 Mn |
| Sep 30, 2021 | 99.15 Mn |
API Access
Coursera Operating 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=operating-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();