Latham (SWIM) Exchange Rate Effect (2020 - 2026)
Latham's Exchange Rate Effect was $32,000 in Q2 2026, compared with -$35,000 a year earlier and down 95.1% from the prior quarter.
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Analysis
Latham (SWIM) Exchange Rate Effect (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latham's Exchange Rate Effect was $886,000 through Jun 27, 2026; for FY2025, it came in at $507,000.
- Exchange Rate Effect shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$1.01 million in FY2024, -$631,000 in FY2023, -$2.39 million in FY2022 and -$861,000 in FY2021.
- Quarterly Exchange Rate Effect has moved between -$1.86 million (Q3 2022) and $1.75 million (Q3 2021) over five years.
- Per Business Quant data, SWIM's Exchange Rate Effect in the three quarters before Q2 2026 was $655,000 (Q1 2026), $496,000 (Q4 2025) and -$297,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | -300,000.00 |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | -1.20 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn | 32,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 32,000.00 |
| Mar 28, 2026 | 655,000.00 |
| Dec 31, 2025 | 496,000.00 |
| Sep 27, 2025 | -297,000.00 |
| Jun 28, 2025 | -35,000.00 |
| Mar 29, 2025 | 343,000.00 |
| Dec 31, 2024 | -1.06 Mn |
| Sep 28, 2024 | 122,000.00 |
| Jun 29, 2024 | 25,000.00 |
| Mar 30, 2024 | -93,000.00 |
| Dec 31, 2023 | 858,000.00 |
| Sep 30, 2023 | -939,000.00 |
| Jul 1, 2023 | -272,000.00 |
| Apr 1, 2023 | -278,000.00 |
| Dec 31, 2022 | -560,000.00 |
| Oct 1, 2022 | -1.86 Mn |
| Jul 2, 2022 | 438,000.00 |
| Apr 2, 2022 | -411,000.00 |
| Dec 31, 2021 | -637,000.00 |
| Oct 2, 2021 | 1.75 Mn |
API Access
Latham 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=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SWIM", "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=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();