Gaotu Techedu (GOTU) Accumulated Expenses (2019 - 2025)
Gaotu Techedu (GOTU) reported Accumulated Expenses of $216.77 million for Q4 2025, up 25.0% from $173.35 million a year earlier.
Analysis
Gaotu Techedu (GOTU) Accumulated Expenses (2019 - 2025) Analysis & Trends
At the end of FY2025, Gaotu Techedu posted Accumulated Expenses of $219.86 million, up 28.9% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $170.59 million in FY2024 (+50.5%), $113.39 million in FY2023 (+18.1%), $96.01 million in FY2022 and $6.34 million in FY2021 (-96.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.40 Bn | 9.40 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.60 Bn | -6.17 Bn | 812.22 Mn |
| 3 | Laureate Education | 5.26 Bn | 4.55 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.84 Bn | -29.42 Mn | 392.03 Mn |
| 5 | Covista | 4.16 Bn | 3.29 Bn | 284.63 Mn |
| 6 | Valvoline | 3.85 Bn | 3.56 Bn | 214.90 Mn |
| 7 | Stride | 3.23 Bn | 123.52 Mn | 217.28 Mn |
| 8 | Bright Horizons Family Solutions | 3.14 Bn | 2.59 Bn | 188.96 Mn |
| 9 | TAL Education | 2.30 Bn | -11.64 Bn | 438.20 Mn |
| 10 | Gaotu Techedu | 385.55 Mn | -1.30 Bn | 163.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 216.77 Mn |
| Dec 31, 2024 | 173.35 Mn |
| Dec 31, 2023 | 111.81 Mn |
| Dec 31, 2022 | 93.11 Mn |
| Dec 31, 2021 | 108.43 Mn |
| Dec 31, 2020 | 6.09 Mn |
| Dec 31, 2019 | 32.46 Mn |
API Access
Gaotu Techedu 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=GOTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GOTU", "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=GOTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();