World Acceptance Corp (WRLD) Exchange Rate Effect (2010 - 2018)
World Acceptance's Exchange Rate Effect came in at $2.67 million for FY2019 (year ended Mar 31, 2019), compared with $132,431 in FY2018.
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Analysis
World Acceptance Corp (WRLD) Exchange Rate Effect (2010 - 2018) Analysis & Trends
Going back to FY2010, World Acceptance's Exchange Rate Effect data covers 10 fiscal years.
- The FY2019 figure represents the highest annual Exchange Rate Effect in data going back to FY2010.
- Per Business Quant, earlier fiscal years put Exchange Rate Effect at $132,431 in FY2018, -$775,393 in FY2017, -$1.5 million in FY2016 and -$2.43 million in FY2015.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 3.43 Mn |
| Jun 30, 2018 | -765,404.00 |
| Mar 31, 2018 | 932,426.00 |
| Dec 31, 2017 | -884,564.00 |
| Sep 30, 2017 | -9,665.00 |
| Jun 30, 2017 | 94,234.00 |
| Mar 31, 2017 | -55,754.00 |
| Dec 31, 2016 | -269,881.00 |
| Sep 30, 2016 | -190,432.00 |
| Jun 30, 2016 | -259,326.00 |
| Mar 31, 2016 | -437,008.00 |
| Dec 31, 2015 | -253,372.00 |
| Sep 30, 2015 | -556,221.00 |
| Jun 30, 2015 | -254,957.00 |
| Mar 31, 2015 | -1.45 Mn |
| Dec 31, 2014 | -829,687.00 |
| Sep 30, 2014 | -215,978.00 |
| Jun 30, 2014 | 70,175.00 |
| Mar 31, 2014 | -262,439.00 |
| Dec 31, 2013 | -38,475.00 |
API Access
World Acceptance Corp 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=WRLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WRLD", "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=WRLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();