Savers Value Village (SVV) Exchange Rate Effect (2022 - 2026)
Savers Value Village (SVV) recorded Exchange Rate Effect of -$1.14 million in Q2 2027, compared with $2 million a year earlier.
Savers Value Village (SVV) Exchange Rate Effect (2022 - 2026) Analysis & Trends
On a TTM basis, Savers Value Village's Exchange Rate Effect came in at -$439,000 as of Jul 4, 2026; for FY2026, it was $3.14 million.
- Across earlier years, Exchange Rate Effect came in at -$7.11 million in FY2024, $2.07 million in FY2023 and -$4.5 million in FY2022.
- Per Business Quant, the preceding three quarters came in at $88,000 (Q1 2027), $1.25 million (Q4 2026) and -$632,000 (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 | Savers Value Village | 1.44 Bn | 1.13 Bn | 254.92 Mn | -1.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | -1.14 Mn |
| Apr 4, 2026 | 88,000.00 |
| Jan 3, 2026 | 1.25 Mn |
| Sep 27, 2025 | -632,000.00 |
| Jun 28, 2025 | 2.00 Mn |
| Mar 29, 2025 | 526,000.00 |
| Dec 28, 2024 | -5.72 Mn |
| Sep 28, 2024 | 937,000.00 |
| Jun 29, 2024 | -533,000.00 |
| Mar 30, 2024 | -1.80 Mn |
| Dec 30, 2023 | 1.76 Mn |
| Sep 30, 2023 | -1.30 Mn |
| Jul 1, 2023 | 1.73 Mn |
| Apr 1, 2023 | -124,000.00 |
| Dec 31, 2022 | 2.28 Mn |
| Oct 1, 2022 | -5.88 Mn |
Savers Value Village 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=SVV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SVV", "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=SVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();