Gaotu Techedu (GOTU) Land & Improvements (2020 - 2024)
Gaotu Techedu (GOTU) recorded Land & Improvements of $3.59 million in Q4 2024, down 2.8% from $3.69 million a year earlier.
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Analysis
Gaotu Techedu (GOTU) Land & Improvements (2020 - 2024) Analysis & Trends
At the end of FY2024, Gaotu Techedu reported Land & Improvements of $3.53 million, down 6.1% from FY2023.
- Annual Land & Improvements has declined for three straight years, with a four-year compound annual growth rate of -4.3% (FY2020 to FY2024).
- Across earlier years, Land & Improvements came in at $3.76 million in FY2023 (-7.8%), $4.08 million in FY2022 (-7.8%), $4.42 million in FY2021 (+5.2%) and $4.2 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 161.67 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, 2024 | 3.59 Mn |
| Dec 31, 2023 | 3.69 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Dec 31, 2021 | 4.41 Mn |
| Dec 31, 2020 | 4.37 Mn |
API Access
Gaotu Techedu Land & Improvements 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=land-and-improvements&ticker=GOTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GOTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();