Agora (API) Accumulated Expenses (2019 - 2026)
Agora's Accumulated Expenses came in at $15.14 million for the quarter ended Jun 30, 2026, up 14.7% from $13.21 million a year earlier but down 19.5% from the prior quarter.
Agora (API) Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Agora's Accumulated Expenses was $20.42 million, up 2.9% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 32.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $19.84 million in the year ended Dec 31, 2024 (-22.8%), $25.68 million in the year ended Dec 31, 2023 (-45.4%), $47.01 million in the year ended Dec 31, 2022 (-11.4%) and $53.03 million in the year ended Dec 31, 2021 (+953.3%).
- The five-year range for quarterly Accumulated Expenses is $13.21 million (the quarter ended Jun 30, 2025) to $56.66 million (the quarter ended Sep 30, 2021).
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 16.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 953.3%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 56.5%).
- Business Quant data shows API's Accumulated Expenses at $18.81 million (quarter ended Mar 31, 2026), $20.42 million (quarter ended Dec 31, 2025) and $13.98 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Agora | 488.27 Mn | 139.32 Mn | 25.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.14 Mn |
| Mar 31, 2026 | 18.81 Mn |
| Dec 31, 2025 | 20.42 Mn |
| Sep 30, 2025 | 13.98 Mn |
| Jun 30, 2025 | 13.21 Mn |
| Mar 31, 2025 | 23.66 Mn |
| Dec 31, 2024 | 19.84 Mn |
| Sep 30, 2024 | 32.15 Mn |
| Jun 30, 2024 | 20.57 Mn |
| Mar 31, 2024 | 28.48 Mn |
| Dec 31, 2023 | 25.68 Mn |
| Sep 30, 2023 | 31.46 Mn |
| Jun 30, 2023 | 31.52 Mn |
| Mar 31, 2023 | 30.62 Mn |
| Dec 31, 2022 | 47.01 Mn |
| Sep 30, 2022 | 41.83 Mn |
| Jun 30, 2022 | 51.99 Mn |
| Mar 31, 2022 | 52.72 Mn |
| Dec 31, 2021 | 53.03 Mn |
| Sep 30, 2021 | 56.66 Mn |
Agora Accumulated 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=accumulated-expenses&ticker=API&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=API&period=max&api_key=YOUR_API_KEY");
const data = await res.json();