Hour Loop (HOUR) Exchange Rate Effect (2021 - 2026)
Hour Loop (HOUR) posted Exchange Rate Effect of $7,918 for Q1 2026, up 90.7% from $4,152 a year earlier but down 49.3% from the prior quarter.
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Analysis
Hour Loop (HOUR) Exchange Rate Effect (2021 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Exchange Rate Effect at Hour Loop was $9,059, down 87.2% year-over-year; for FY2025, it came in at $5,293, down 81.9% from FY2024.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Hour Loop's Exchange Rate Effect was $29,284 in FY2024, -$238.00 in FY2023, -$10,631 in FY2022 and $2,743 in FY2021 (-46.3%).
- Quarterly Exchange Rate Effect has run from a low of -$37,218 in Q1 2024 to a high of $52,282 in Q4 2024 over five years.
- On a year-over-year basis, Exchange Rate Effect increased in two of the last four quarters, with growth averaging 5.3%.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $15,604 (Q4 2025), $18,685 (Q3 2025) and -$33,148 (Q2 2025).
Peer Set
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 | Hour Loop | 67.22 Mn | 67.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7,918.00 |
| Dec 31, 2025 | 15,604.00 |
| Sep 30, 2025 | 18,685.00 |
| Jun 30, 2025 | -33,148.00 |
| Mar 31, 2025 | 4,152.00 |
| Dec 31, 2024 | 52,282.00 |
| Sep 30, 2024 | 28,840.00 |
| Jun 30, 2024 | -14,620.00 |
| Mar 31, 2024 | -37,218.00 |
| Dec 31, 2023 | 38,435.00 |
| Sep 30, 2023 | -25,076.00 |
| Jun 30, 2023 | -18,254.00 |
| Mar 31, 2023 | 4,657.00 |
| Dec 31, 2022 | -27,646.00 |
| Sep 30, 2022 | 24,130.00 |
| Jun 30, 2022 | 3,595.00 |
| Mar 31, 2022 | -10,710.00 |
| Dec 31, 2021 | 2,877.00 |
| Sep 30, 2021 | -4,830.00 |
| Jun 30, 2021 | 5,337.00 |
API Access
Hour Loop 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=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HOUR", "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=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();