China SXT Pharmaceuticals (SXTC) Net Cash Flow (2017 - 2019)
China SXT Pharmaceuticals' Net Cash Flow was $9.17 million in FY2026 (year ended Mar 31, 2026), up 49.8% from $6.12 million in FY2025.
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Analysis
China SXT Pharmaceuticals (SXTC) Net Cash Flow (2017 - 2019) Analysis & Trends
From FY2017 onward, China SXT Pharmaceuticals has reported Net Cash Flow for 10 fiscal years.
- Net Cash Flow shows a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- The FY2026 figure marks the highest annual Net Cash Flow in data going back to FY2017.
- Per Business Quant data, Net Cash Flow in earlier fiscal years was $6.12 million in FY2025, -$4.53 million in FY2024, $2.85 million in FY2023 (+56.8%) and $1.82 million in FY2022 (-65.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 652.90 Mn |
| 10 | China SXT Pharmaceuticals | 33,069.96 | -85.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 7.19 Mn |
| Dec 31, 2018 | 555,220.00 |
| Dec 31, 2017 | 56,174.00 |
API Access
China SXT Pharmaceuticals Net Cash Flow 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=net-cash-flow&ticker=SXTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SXTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();