Coursera (COUR) Other Operating Expenses (2020 - 2026)
Coursera's Other Operating Expenses was $183.8 million in Q2 2026, up 189.0% from $63.6 million a year earlier and up 165.2% from the prior quarter.
Coursera (COUR) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coursera's Other Operating Expenses was $388.4 million through Jun 30, 2026, up 62.1% year-over-year; for FY2025, it was $255.7 million, up 8.9% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $234.9 million in FY2024 (+5.4%), $222.8 million in FY2023 (-2.1%), $227.68 million in FY2022 (+27.0%) and $179.34 million in FY2021 (+67.2%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q1 2020.
- Compared with a year earlier, Other Operating Expenses has increased for five straight quarters, with growth averaging 31.0% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2026 (growth of 189.0%); the worst was Q2 2023 (a decline of 6.4%).
- Per Business Quant data, COUR's Other Operating Expenses in the three quarters before Q2 2026 was $69.3 million (Q1 2026), $67.9 million (Q4 2025) and $67.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Coursera | 1.36 Bn | -2.00 Bn | 173.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.80 Mn |
| Mar 31, 2026 | 69.30 Mn |
| Dec 31, 2025 | 67.90 Mn |
| Sep 30, 2025 | 67.40 Mn |
| Jun 30, 2025 | 63.60 Mn |
| Mar 31, 2025 | 56.80 Mn |
| Dec 31, 2024 | 60.20 Mn |
| Sep 30, 2024 | 59.00 Mn |
| Jun 30, 2024 | 58.10 Mn |
| Mar 31, 2024 | 57.60 Mn |
| Dec 31, 2023 | 58.14 Mn |
| Sep 30, 2023 | 59.79 Mn |
| Jun 30, 2023 | 52.00 Mn |
| Mar 31, 2023 | 52.87 Mn |
| Dec 31, 2022 | 61.92 Mn |
| Sep 30, 2022 | 58.50 Mn |
| Jun 30, 2022 | 55.59 Mn |
| Mar 31, 2022 | 51.67 Mn |
| Dec 31, 2021 | 57.59 Mn |
| Sep 30, 2021 | 45.27 Mn |
Coursera Other 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=other-operating-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();