Latham (SWIM) Operating Margin (2020 - 2026)
Latham (SWIM) reported Operating Margin of 12.71% for Q2 2026, down 1.61 percentage points from 14.32% a year earlier but up 18.33 percentage points from the prior quarter.
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Analysis
Latham (SWIM) Operating Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Latham's Operating Margin came in at 5.08%, up 1.22 percentage points year-over-year; for FY2025, it came in at 5.60%, up 2.01 percentage points from FY2024.
- Operating Margin has a five-year change of -4.29 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 3.59% in FY2024 (+0.75 pp), 2.85% in FY2023 (-1.47 pp), 4.31% in FY2022 (+10.05 pp) and -5.74% in FY2021 (-15.63 pp).
- Five-year quarterly Operating Margin spans a low of -18.91% in Q4 2022 and a high of 14.32% in Q2 2025.
- Year over year, Operating Margin gained in three of the last eight quarters, with an average year-over-year change of -0.29 percentage points.
- The high point for year-over-year Operating Margin in five years was Q2 2022 (a gain of 32.46 percentage points); the low point was Q3 2021 (a drop of 22.10 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -5.63% (Q1 2026), -10.73% (Q4 2025) and 13.28% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 103.08 Bn | 97.79 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 91.51 Bn | 89.24 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 49.79 Bn | 45.05 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 27.64 Bn | 24.05 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 15.20 Bn | 14.26 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 14.85 Bn | 12.71 Bn | 868.00 Mn | 23.59% |
| 8 | Carlisle Companies | 13.70 Bn | 10.05 Bn | 568.40 Mn | 22.45% |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn | 22.12% |
| 10 | Latham | 734.82 Mn | 734.82 Mn | 70.08 Mn | 12.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.71% |
| Mar 28, 2026 | -5.63% |
| Dec 31, 2025 | -10.73% |
| Sep 27, 2025 | 13.28% |
| Jun 28, 2025 | 14.32% |
| Mar 29, 2025 | -4.43% |
| Dec 31, 2024 | -14.93% |
| Sep 28, 2024 | 8.88% |
| Jun 29, 2024 | 12.49% |
| Mar 30, 2024 | -1.87% |
| Dec 31, 2023 | -9.93% |
| Sep 30, 2023 | 11.24% |
| Jul 1, 2023 | 7.56% |
| Apr 1, 2023 | -4.59% |
| Dec 31, 2022 | -18.91% |
| Oct 1, 2022 | 13.18% |
| Jul 2, 2022 | 9.02% |
| Apr 2, 2022 | 3.55% |
| Dec 31, 2021 | -7.83% |
| Oct 2, 2021 | -1.58% |
API Access
Latham Operating 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=operating-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();