HomesToLife (HTLM) Exchange Rate Effect (2024 - 2026)
HomesToLife's Exchange Rate Effect was -$220,277 in the quarter ended Mar 31, 2026, compared with $557,598 a year earlier.
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Analysis
HomesToLife (HTLM) Exchange Rate Effect (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, HomesToLife's Exchange Rate Effect was $22,231 through Mar 31, 2026; for the year ended Dec 31, 2025, it was $450,101.
- Exchange Rate Effect shows a three-year compound annual growth rate of 240.0% (years ended Dec 2022 to Dec 2025).
- In earlier years, Exchange Rate Effect was -$905,513 in the year ended Dec 31, 2024, -$74,709 in the year ended Dec 31, 2023 and $11,456 in the year ended Dec 31, 2022.
- The figure for the quarter ended Mar 31, 2026 marks the lowest quarterly Exchange Rate Effect since the quarter ended Jun 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 87,000.00 |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | -1.40 Mn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 1.00 Mn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | -1.67 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 6.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | -691,000.00 |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | -1.30 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | -30,000.00 |
| 10 | HomesToLife | 173.99 Mn | 78.26 Mn | 26.86 Mn | -220,277.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -220,277.00 |
| Jun 30, 2025 | 485,926.00 |
| Mar 31, 2025 | 557,598.00 |
| Jun 30, 2024 | -801,016.00 |
| Mar 31, 2024 | 4,173.00 |
API Access
HomesToLife 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=HTLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HTLM", "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=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();