Tianci International (CIIT) Exchange Rate Effect (2015 - 2016)
Tianci International (CIIT) reported Exchange Rate Effect of $498.00 for fiscal Q1 2017 (quarter ended Oct 31, 2016), compared with -$1,736 a year earlier and down 88.4% from the prior quarter.
Tianci International (CIIT) Exchange Rate Effect (2015 - 2016) Analysis & Trends
For FY2016 (ended Jul 31, 2016), Tianci International posted Exchange Rate Effect of -$3,096.
- By fiscal year, Exchange Rate Effect came in at -$9,362 in FY2015.
- Five-year quarterly Exchange Rate Effect spans a low of -$13,066 in fiscal Q3 2015 and a high of $4,290 in fiscal Q4 2016.
- Per Business Quant data, the three fiscal quarters before Q1 2017 came in at $4,290 (Q4 2016), -$4,706 (Q3 2016) and -$944.00 (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Tianci International | 998,819.16 | -4.50 Mn | 697,489.00 | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2016 | 498.00 |
| Jul 31, 2016 | 4,290.00 |
| Apr 30, 2016 | -4,706.00 |
| Jan 31, 2016 | -944.00 |
| Oct 31, 2015 | -1,736.00 |
| Jan 31, 2015 | 406.00 |
Tianci International 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=CIIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CIIT", "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=CIIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();