Lowes Companies (LOW) Exchange Rate Effect (2009 - 2023)
Lowes Companies (LOW) posted Exchange Rate Effect of $16 million for fiscal Q4 2023 (quarter ended Feb 3, 2023), compared with -$11 million a year earlier.
Lowes Companies (LOW) Exchange Rate Effect (2009 - 2023) Analysis & Trends
For FY2023 (ended Feb 3, 2023), Lowes Companies' Exchange Rate Effect came in at -$16 million.
- In prior fiscal years, Lowes Companies' Exchange Rate Effect was -$8 million in FY2022, $10 million in FY2021 (+900.0%), $1 million in FY2020 and -$12 million in FY2019.
- The fiscal Q4 2023 figure stands as the highest quarterly Exchange Rate Effect since fiscal Q2 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -503,000.00 |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -178.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 3, 2023 | 16.00 Mn |
| Oct 28, 2022 | -32.00 Mn |
| Jan 28, 2022 | -11.00 Mn |
| Oct 29, 2021 | -1.00 Mn |
| Jul 30, 2021 | -3.00 Mn |
| Apr 30, 2021 | 7.00 Mn |
| Jan 29, 2021 | 6.00 Mn |
| Jul 31, 2020 | 19.00 Mn |
| May 1, 2020 | -15.00 Mn |
| Nov 1, 2019 | 2.00 Mn |
| Aug 2, 2019 | 1.00 Mn |
| May 3, 2019 | -2.00 Mn |
| Feb 1, 2019 | -3.00 Mn |
| Nov 2, 2018 | -2.00 Mn |
| Aug 3, 2018 | -6.00 Mn |
| May 4, 2018 | -1.00 Mn |
| Feb 2, 2018 | -2.00 Mn |
| Nov 3, 2017 | 3.00 Mn |
| Aug 4, 2017 | 6.00 Mn |
| May 5, 2017 | 6.00 Mn |
Lowes Companies 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=LOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LOW", "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=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();