New Oriental Education & Technology (EDU) Inventory (2009 - 2026)
New Oriental Education & Technology's Inventory came in at $105.8 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 30.8% from $80.88 million a year earlier and up 23.0% from the prior quarter.
New Oriental Education & Technology (EDU) Inventory (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, New Oriental Education & Technology's Inventory data covers 66 quarters.
- Inventory carries a five-year compound annual growth rate of 27.7% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $80.88 million in FY2025 (-12.8%), $92.81 million in FY2024 (+76.1%), $52.69 million in FY2023 (+88.7%) and $27.93 million in FY2022 (-10.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Inventory in data going back to fiscal Q3 2009.
- Year-over-year, Inventory increased in four of the last eight quarters, with growth averaging 6.8%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q2 2023 (growth of 116.7%), and the weakest in fiscal Q3 2022 (a decline of 14.0%).
- Business Quant data shows EDU's Inventory at $86.05 million (Q3 2026), $92.09 million (Q2 2026) and $86.28 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 38.24 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 | 105.80 Mn |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn | 184.82 Mn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn | - |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn | 333.46 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn | - |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn | 50.40 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn | - |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn | 38.25 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn | 56.76 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 105.80 Mn |
| Feb 28, 2026 | 86.05 Mn |
| Nov 30, 2025 | 92.09 Mn |
| Aug 31, 2025 | 86.28 Mn |
| May 31, 2025 | 80.88 Mn |
| Feb 28, 2025 | 85.71 Mn |
| Nov 30, 2024 | 92.66 Mn |
| Aug 31, 2024 | 95.35 Mn |
| May 31, 2024 | 92.81 Mn |
| Feb 29, 2024 | 96.52 Mn |
| Nov 30, 2023 | 86.64 Mn |
| Aug 31, 2023 | 63.27 Mn |
| May 31, 2023 | 52.69 Mn |
| Feb 28, 2023 | 62.73 Mn |
| Nov 30, 2022 | 74.61 Mn |
| Aug 31, 2022 | 43.93 Mn |
| May 31, 2022 | 27.93 Mn |
| Feb 28, 2022 | 30.73 Mn |
| Nov 30, 2021 | 34.43 Mn |
| May 31, 2021 | 31.18 Mn |
New Oriental Education & Technology Inventory 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=inventory&ticker=EDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "EDU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=EDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();