Latham (SWIM) Gross Margin (2020 - 2026)
Latham (SWIM) posted Gross Margin of 35.49% for Q2 2026, down 1.56 percentage points from 37.05% a year earlier but up 3.81 percentage points from the prior quarter.
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Analysis
Latham (SWIM) Gross Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Gross Margin at Latham was 33.38%, up 1.38 percentage points year-over-year; for FY2025, it was 33.35%, up 3.12 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -2.04 percentage points (FY2020 to FY2025).
- In prior years, Latham's Gross Margin was 30.23% in FY2024 (+3.24 pp), 27.00% in FY2023 (-4.12 pp), 31.11% in FY2022 (-1.27 pp) and 32.38% in FY2021 (-3.01 pp).
- Quarterly Gross Margin has run from a low of 17.91% in Q4 2022 to a high of 37.05% in Q2 2025 over five years.
- On a year-over-year basis, Gross Margin increased in seven of the last eight quarters, with an average year-over-year change of +2.06 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q4 2023, with a gain of 5.41 percentage points; the weakest was Q1 2023, with a drop of 12.64 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 31.67% (Q1 2026), 27.95% (Q4 2025) and 35.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | 35.57% |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | 37.41% |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | 30.59% |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | 24.81% |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | 29.52% |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | 37.21% |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | 43.57% |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | 44.94% |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | 36.20% |
| 10 | Latham | 768.68 Mn | 768.68 Mn | 70.08 Mn | 35.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 35.49% |
| Mar 28, 2026 | 31.67% |
| Dec 31, 2025 | 27.95% |
| Sep 27, 2025 | 35.40% |
| Jun 28, 2025 | 37.05% |
| Mar 29, 2025 | 29.51% |
| Dec 31, 2024 | 24.57% |
| Sep 28, 2024 | 32.35% |
| Jun 29, 2024 | 33.11% |
| Mar 30, 2024 | 27.65% |
| Dec 31, 2023 | 23.33% |
| Sep 30, 2023 | 29.95% |
| Jul 1, 2023 | 28.36% |
| Apr 1, 2023 | 24.23% |
| Dec 31, 2022 | 17.91% |
| Oct 1, 2022 | 31.09% |
| Jul 2, 2022 | 32.69% |
| Apr 2, 2022 | 36.87% |
| Dec 31, 2021 | 30.52% |
| Oct 2, 2021 | 31.48% |
API Access
Latham Gross Margin 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=gross-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();