Origin Agritech (SEED) Asset Utilization Ratio (2009 - 2016)
Origin Agritech's (SEED) Asset Utilization Ratio was 0.78 for FY2025 (year ended Sep 30, 2025), up 25.3% from 0.62 in FY2024.
Analysis
Origin Agritech (SEED) Asset Utilization Ratio (2009 - 2016) Analysis & Trends
Dating back to FY2009, Origin Agritech's Asset Utilization Ratio record includes 13 fiscal years.
- The FY2025 figure ranks as the highest annual Asset Utilization Ratio since FY2010.
- According to Business Quant data, Asset Utilization Ratio came in at 0.62 in FY2024 (+25.4%) and 0.50 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 0.41 |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 0.53 |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 0.92 |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 0.31 |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 0.42 |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 0.91 |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 0.52 |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 0.37 |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 0.86 |
| 10 | Origin Agritech | 5.92 Mn | -5.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 0.00 |
| Sep 30, 2016 | 0.00 |
| Jun 30, 2016 | 0.00 |
| Mar 31, 2016 | -0.01 |
| Dec 31, 2015 | -0.01 |
| Sep 30, 2015 | 0.00 |
| Jun 30, 2015 | 0.34 |
| Mar 31, 2015 | 0.34 |
| Dec 31, 2014 | 0.36 |
| Sep 30, 2014 | 0.35 |
| Jun 30, 2014 | 0.32 |
| Mar 31, 2014 | 0.33 |
| Dec 31, 2013 | 0.37 |
| Sep 30, 2013 | 0.39 |
| Jun 30, 2013 | 0.32 |
| Mar 31, 2013 | 0.41 |
| Dec 31, 2012 | 0.47 |
| Sep 30, 2012 | 0.54 |
| Jun 30, 2012 | 0.56 |
| Mar 31, 2012 | 0.51 |
API Access
Origin Agritech Asset Utilization Ratio 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=asset-utilization-ratio&ticker=SEED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "SEED", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-utilization-ratio&ticker=SEED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();