Gaotu Techedu (GOTU) Non-Current Assets (2018 - 2026)
Gaotu Techedu (GOTU) reported Non-Current Assets of $358.55 million for Q2 2026, up 38.8% from $258.35 million a year earlier and up 11.5% from the prior quarter.
Gaotu Techedu (GOTU) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Gaotu Techedu posted Non-Current Assets of $262.94 million, unchanged from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $262.98 million in FY2024 (+23.0%), $213.72 million in FY2023 (+123.8%), $95.49 million in FY2022 (-30.7%) and $137.84 million in FY2021 (-36.9%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets since Q2 2021.
- Year over year, Non-Current Assets has now increased in each of the last three quarters, with growth averaging 12.3% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q1 2024 (growth of 144.9%); the low point was Q2 2022 (a decline of 67.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $321.46 million (Q1 2026), $266.42 million (Q4 2025) and $278.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.53 Bn | 9.53 Bn | 273.50 Mn | 18.76 Bn |
| 2 | New Oriental Education & Technology | 8.65 Bn | -6.12 Bn | 812.22 Mn | 2.55 Bn |
| 3 | Laureate Education | 5.18 Bn | 4.48 Bn | 237.67 Mn | 2.06 Bn |
| 4 | Graham Holdings | 4.87 Bn | -1.39 Mn | 392.03 Mn | 5.87 Bn |
| 5 | Covista | 4.00 Bn | 3.13 Bn | 284.63 Mn | 2.36 Bn |
| 6 | Valvoline | 3.64 Bn | 3.34 Bn | 214.90 Mn | 3.20 Bn |
| 7 | Stride | 3.18 Bn | 77.07 Mn | 217.28 Mn | 719.43 Mn |
| 8 | Bright Horizons Family Solutions | 3.14 Bn | 2.58 Bn | 188.96 Mn | 3.33 Bn |
| 9 | Onespaworld Holdings | 2.31 Bn | 2.21 Bn | 44.57 Mn | 560.75 Mn |
| 10 | Gaotu Techedu | 393.55 Mn | -1.29 Bn | 163.72 Mn | 358.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.55 Mn |
| Mar 31, 2026 | 321.46 Mn |
| Dec 31, 2025 | 266.42 Mn |
| Sep 30, 2025 | 278.65 Mn |
| Jun 30, 2025 | 258.35 Mn |
| Mar 31, 2025 | 311.36 Mn |
| Dec 31, 2024 | 263.06 Mn |
| Sep 30, 2024 | 321.14 Mn |
| Jun 30, 2024 | 277.32 Mn |
| Mar 31, 2024 | 261.46 Mn |
| Dec 31, 2023 | 209.77 Mn |
| Sep 30, 2023 | 245.84 Mn |
| Jun 30, 2023 | 113.40 Mn |
| Mar 31, 2023 | 106.76 Mn |
| Dec 31, 2022 | 90.15 Mn |
| Sep 30, 2022 | 106.24 Mn |
| Jun 30, 2022 | 117.32 Mn |
| Mar 31, 2022 | 141.62 Mn |
| Dec 31, 2021 | 139.06 Mn |
| Sep 30, 2021 | 190.32 Mn |
Gaotu Techedu Non-Current Assets 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=non-current-assets&ticker=GOTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GOTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();