China SXT Pharmaceuticals (SXTC) Change in Accured Expenses (2017 - 2019)
China SXT Pharmaceuticals' Change in Accured Expenses was $244,081 in FY2026 (year ended Mar 31, 2026), down 18.3% from $298,762 in FY2025.
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Analysis
China SXT Pharmaceuticals (SXTC) Change in Accured Expenses (2017 - 2019) Analysis & Trends
From FY2017 onward, China SXT Pharmaceuticals has reported Change in Accured Expenses for 10 fiscal years.
- Change in Accured Expenses shows a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- Annual Change in Accured Expenses has moved between -$53,835 (FY2024) and $384,799 (FY2022) over five years.
- Per Business Quant data, Change in Accured Expenses in earlier fiscal years was $298,762 in FY2025, -$53,835 in FY2024, -$46,373 in FY2023 and $384,799 in FY2022 (-21.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | China SXT Pharmaceuticals | 31,626.43 | -85.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 583,226.00 |
| Dec 31, 2018 | -203,895.00 |
| Dec 31, 2017 | -248,651.00 |
API Access
China SXT Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=SXTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SXTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SXTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();