Agora (API) Operating Expenses (2019 - 2026)
Agora's Operating Expenses was $27.28 million in the quarter ended Jun 30, 2026, up 2.8% from $26.54 million a year earlier and up 3.4% from the prior quarter.
Agora (API) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agora's Operating Expenses was $105.12 million through Jun 30, 2026, down 17.5% year-over-year; for the year ended Dec 31, 2025, it was -$104.48 million.
- In earlier years, Operating Expenses was -$140.34 million in the year ended Dec 31, 2024, -$146.6 million in the year ended Dec 31, 2023, -$206.94 million in the year ended Dec 31, 2022 and -$187.27 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with an average decline of 9.3%.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Sep 30, 2021 (growth of 117.0%); the worst was the quarter ended Sep 30, 2025 (a decline of 44.8%).
- Per Business Quant data, API's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $26.38 million (quarter ended Mar 31, 2026), $26.14 million (quarter ended Dec 31, 2025) and $25.32 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Agora | 488.27 Mn | 139.32 Mn | 25.74 Mn | 27.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.28 Mn |
| Mar 31, 2026 | 26.38 Mn |
| Dec 31, 2025 | 26.14 Mn |
| Sep 30, 2025 | 25.32 Mn |
| Jun 30, 2025 | 26.54 Mn |
| Mar 31, 2025 | 26.49 Mn |
| Dec 31, 2024 | 28.49 Mn |
| Sep 30, 2024 | 45.87 Mn |
| Jun 30, 2024 | 32.64 Mn |
| Mar 31, 2024 | 33.33 Mn |
| Dec 31, 2023 | 31.24 Mn |
| Sep 30, 2023 | 36.90 Mn |
| Jun 30, 2023 | 38.14 Mn |
| Mar 31, 2023 | 40.32 Mn |
| Dec 31, 2022 | 42.68 Mn |
| Sep 30, 2022 | 55.64 Mn |
| Jun 30, 2022 | 54.51 Mn |
| Mar 31, 2022 | 54.12 Mn |
| Dec 31, 2021 | 51.92 Mn |
| Sep 30, 2021 | 50.40 Mn |
Agora 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=API&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "API", "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=API&period=max&api_key=YOUR_API_KEY");
const data = await res.json();