Jin Medical International (ZJYL) Accumulated Expenses (2022 - 2026)
Jin Medical International (ZJYL) recorded Accumulated Expenses of $510,611 in the quarter ended Mar 31, 2026, down 100.0% from $450.45 billion a year earlier.
Jin Medical International (ZJYL) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Sep 30, 2025, Jin Medical International reported Accumulated Expenses of $673,472, down 100.0% from the prior year.
- Annual Accumulated Expenses has a three-year compound annual growth rate of -98.8% (years ended Sep 2022 to Sep 2025).
- Across earlier years, Accumulated Expenses came in at $431 billion in the year ended Sep 30, 2024 (+35.3%), $318.5 billion in the year ended Sep 30, 2023 (-19.1%) and $393.76 billion in the year ended Sep 30, 2022.
- The figure for the quarter ended Mar 31, 2026 is the lowest quarterly Accumulated Expenses since the quarter ended Mar 31, 2023.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last four quarters, with an average decline of 44.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Jin Medical International | 27.40 Mn | -90.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 510,611.00 |
| Sep 30, 2025 | 673,472.00 |
| Mar 31, 2025 | 450,453.00 |
| Sep 30, 2024 | 431,003.00 |
| Mar 31, 2024 | 527.82 Bn |
| Sep 30, 2023 | 318,500.00 |
| Mar 31, 2023 | 378,097.00 |
| Sep 30, 2022 | 393.76 Bn |
Jin Medical International 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=ZJYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ZJYL", "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=ZJYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();