China SXT Pharmaceuticals (SXTC) Exchange Rate Effect (2017 - 2019)
China SXT Pharmaceuticals (SXTC) reported Exchange Rate Effect of $881,657 for FY2026 (year ended Mar 31, 2026), compared with -$65,091 in FY2025.
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Analysis
China SXT Pharmaceuticals (SXTC) Exchange Rate Effect (2017 - 2019) Analysis & Trends
Dating back to FY2017, China SXT Pharmaceuticals' Exchange Rate Effect record includes 10 fiscal years.
- Exchange Rate Effect has a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- The FY2026 figure ranks as the highest annual Exchange Rate Effect in data going back to FY2017.
- According to Business Quant data, Exchange Rate Effect came in at -$65,091 in FY2025, -$765,233 in FY2024, -$1.05 million in FY2023 and $394,120 in FY2022 (-49.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | -4.00 Mn |
| 10 | China SXT Pharmaceuticals | 567.53 | -85.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -90,371.00 |
| Dec 31, 2018 | 36,977.00 |
| Dec 31, 2017 | -2,043.00 |
API Access
China SXT Pharmaceuticals Exchange Rate Effect 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=exchange-rate-effect&ticker=SXTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SXTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();