Designer Brands (DBI) Exchange Rate Effect (2015 - 2026)
Designer Brands (DBI) recorded Exchange Rate Effect of -$1.15 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with $99,000 a year earlier.
Designer Brands (DBI) Exchange Rate Effect (2015 - 2026) Analysis & Trends
On a TTM basis, Designer Brands' Exchange Rate Effect came in at -$301,000 as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it came in at $2.31 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- Across earlier fiscal years, Exchange Rate Effect came in at -$1.89 million in FY2025, $22,000 in FY2024, -$523,000 in FY2023 and -$33,000 in FY2022.
- The fiscal Q2 2027 figure is the lowest quarterly Exchange Rate Effect since fiscal Q4 2025.
- Per Business Quant, the preceding three fiscal quarters came in at -$167,000 (Q1 2027), $1.57 million (Q4 2026) and -$549,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | -503,000.00 |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | -1.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -1.15 Mn |
| May 2, 2026 | -167,000.00 |
| Jan 31, 2026 | 1.57 Mn |
| Nov 1, 2025 | -549,000.00 |
| Aug 2, 2025 | 99,000.00 |
| May 3, 2025 | 1.20 Mn |
| Feb 1, 2025 | -1.34 Mn |
| Nov 2, 2024 | -153,000.00 |
| Aug 3, 2024 | -214,000.00 |
| May 4, 2024 | -179,000.00 |
| Feb 3, 2024 | 762,000.00 |
| Oct 28, 2023 | -765,000.00 |
| Jul 29, 2023 | 340,000.00 |
| Apr 29, 2023 | -315,000.00 |
| Jan 28, 2023 | 838,000.00 |
| Oct 29, 2022 | -1.44 Mn |
| Jul 30, 2022 | -35,000.00 |
| Apr 30, 2022 | 115,000.00 |
| Jan 29, 2022 | -697,000.00 |
| Oct 30, 2021 | 326,000.00 |
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "DBI", "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=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();