Youdao (DAO) Accumulated Expenses (2018 - 2026)
Youdao's Accumulated Expenses was $1.07 million in Q4 2025, down 99.0% from $102.75 million a year earlier.
Analysis
Youdao (DAO) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Youdao came in at $1.08 million, down 99.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -57.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $105.54 million in FY2024 (+20.6%), $87.5 million in FY2023 (+5.0%), $83.35 million in FY2022 (+1.8%) and $81.91 million in FY2021 (+1.2%).
- The Q4 2025 figure marks the lowest quarterly Accumulated Expenses since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn |
| 10 | Youdao | 2.29 Bn | 1.91 Bn | 105.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.28 Mn |
| Mar 31, 2026 | 116.55 Mn |
| Dec 31, 2025 | 105.49 Mn |
| Sep 30, 2025 | 106.70 Mn |
| Jun 30, 2025 | 103.14 Mn |
| Mar 31, 2025 | 89.85 Mn |
| Dec 31, 2024 | 87.51 Mn |
| Sep 30, 2024 | 108.26 Mn |
| Jun 30, 2024 | 102.31 Mn |
| Mar 31, 2024 | 88.79 Mn |
| Dec 31, 2023 | 83.27 Mn |
| Sep 30, 2023 | 100.37 Mn |
| Jun 30, 2023 | 91.94 Mn |
| Mar 31, 2023 | 87.06 Mn |
| Dec 31, 2022 | 81.13 Mn |
| Sep 30, 2022 | 88.04 Mn |
| Jun 30, 2022 | 104.07 Mn |
| Mar 31, 2022 | 94.46 Mn |
| Dec 31, 2021 | 80.91 Mn |
| Sep 30, 2021 | 97.31 Mn |
API Access
Youdao 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=DAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DAO", "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=DAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();