Ppl (PPL) Exchange Rate Effect (2010 - 2021)
Ppl's Exchange Rate Effect came in at $8 million for FY2021, down 52.9% from $17 million in FY2020.
Powered by 
Analysis
Ppl (PPL) Exchange Rate Effect (2010 - 2021) Analysis & Trends
Going back to FY2010, Ppl's Exchange Rate Effect data covers 12 years.
- The FY2021 figure represents the lowest annual Exchange Rate Effect since FY2018.
- Per Business Quant, earlier years put Exchange Rate Effect at $17 million in FY2020 (+70.0%), $10 million in FY2019, -$18 million in FY2018 and $15 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 178.52 Bn | 165.27 Bn | - | 2.00 Mn |
| 2 | Southern | 107.79 Bn | 98.84 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 100.04 Bn | 100.04 Bn | - | - |
| 4 | National Grid | 83.53 Bn | 55.82 Bn | - | - |
| 5 | American Electric Power | 70.90 Bn | 68.07 Bn | 3.84 Bn | - |
| 6 | Dominion Energy | 59.77 Bn | 57.76 Bn | - | - |
| 7 | Sempra | 56.38 Bn | 55.50 Bn | 2.89 Bn | - |
| 8 | Entergy | 50.50 Bn | 39.63 Bn | - | - |
| 9 | Xcel Energy | 49.96 Bn | 43.43 Bn | - | - |
| 10 | Ppl | 27.22 Bn | 23.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 8.00 Mn |
| Dec 31, 2020 | 23.00 Mn |
| Jun 30, 2020 | -7.00 Mn |
| Mar 31, 2020 | 1.00 Mn |
| Dec 31, 2019 | 20.00 Mn |
| Sep 30, 2019 | -6.00 Mn |
| Jun 30, 2019 | -7.00 Mn |
| Mar 31, 2019 | 3.00 Mn |
| Dec 31, 2018 | -9.00 Mn |
| Sep 30, 2018 | -2.00 Mn |
| Jun 30, 2018 | -5.00 Mn |
| Mar 31, 2018 | -2.00 Mn |
| Dec 31, 2017 | 8.00 Mn |
| Jun 30, 2017 | 4.00 Mn |
| Mar 31, 2017 | 3.00 Mn |
| Dec 31, 2016 | -2.00 Mn |
| Sep 30, 2016 | -11.00 Mn |
| Jun 30, 2016 | 18.00 Mn |
| Mar 31, 2016 | -33.00 Mn |
| Dec 31, 2015 | -4.00 Mn |
API Access
Ppl 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=PPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PPL", "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=PPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();