HomesToLife (HTLM) Exchange Rate Effect (2024 - 2026)
HomesToLife's Exchange Rate Effect was $18.44 million in the quarter ended Jun 30, 2026, down 5.5% from $19.51 million 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 $38.29 million through Jun 30, 2026, up 98.6% year-over-year; for the year ended Dec 31, 2025, it was $27.28 million.
- Exchange Rate Effect shows a three-year compound annual growth rate of 1235.3% (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.
- Quarterly Exchange Rate Effect has moved between -$801,016 (the quarter ended Jun 30, 2024) and $19.51 million (the quarter ended Jun 30, 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 87,000.00 |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | -1.40 Mn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 1.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | -1.67 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 6.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | - |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | -691,000.00 |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | -1.30 Mn |
| 10 | HomesToLife | 153.81 Mn | 60.21 Mn | 30.13 Mn | -79,267.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -79,267.00 |
| 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();