Latham (SWIM) EBITDA Margin (2020 - 2026)
Latham (SWIM) recorded EBITDA Margin of 19.63% in Q2 2026, down 2.05 percentage points from 21.68% a year earlier but up 14.12 percentage points from the prior quarter.
Latham (SWIM) EBITDA Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Latham's EBITDA Margin came in at 14.27% as of Jun 27, 2026, up 1.10 percentage points year-over-year; for FY2025, it was 15.01%, up 2.67 percentage points from FY2024.
- Annual EBITDA Margin has increased for four straight years, though with a five-year change of -1.17 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 12.33% in FY2024 (+2.29 pp), 10.04% in FY2023 (+0.24 pp), 9.80% in FY2022 (+10.43 pp) and -0.63% in FY2021 (-16.81 pp).
- Quarterly EBITDA Margin has ranged from -10.26% in Q4 2022 to 21.68% in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in three of the last eight quarters, with an average year-over-year change of +0.31 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 32.90 percentage points in Q2 2022, against a drop of 21.74 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.51% (Q1 2026), 2.66% (Q4 2025) and 21.24% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 103.16 Bn | 97.88 Bn | 2.26 Bn | 21.00% |
| 2 | Johnson Controls International | 91.29 Bn | 89.02 Bn | 2.47 Bn | 17.37% |
| 3 | Comfort Systems Usa | 49.35 Bn | 44.60 Bn | 844.23 Mn | 18.42% |
| 4 | Carrier Global | 46.50 Bn | 40.80 Bn | 1.94 Bn | 17.93% |
| 5 | Otis Worldwide | 27.54 Bn | 23.95 Bn | 1.14 Bn | 15.99% |
| 6 | James Hardie Industries | 15.24 Bn | 14.31 Bn | 548.70 Mn | 26.21% |
| 7 | Masco | 14.93 Bn | 12.78 Bn | 868.00 Mn | - |
| 8 | Carlisle Companies | 13.78 Bn | 10.13 Bn | 568.40 Mn | 25.55% |
| 9 | Allegion | 13.41 Bn | 12.13 Bn | 517.50 Mn | 25.22% |
| 10 | Latham | 747.74 Mn | 747.74 Mn | 70.08 Mn | 19.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 19.85% |
| Mar 28, 2026 | 5.88% |
| Dec 31, 2025 | 3.09% |
| Sep 27, 2025 | 21.51% |
| Jun 28, 2025 | 21.92% |
| Mar 29, 2025 | 7.09% |
| Dec 31, 2024 | -0.51% |
| Sep 28, 2024 | 16.69% |
| Jun 29, 2024 | 19.38% |
| Mar 30, 2024 | 7.89% |
| Dec 31, 2023 | 2.62% |
| Sep 30, 2023 | 18.04% |
| Jul 1, 2023 | 13.46% |
| Apr 1, 2023 | 2.45% |
| Dec 31, 2022 | -9.86% |
| Oct 1, 2022 | 18.46% |
| Jul 2, 2022 | 13.95% |
| Apr 2, 2022 | 8.65% |
| Dec 31, 2021 | -1.31% |
| Oct 2, 2021 | 3.50% |
Latham EBITDA 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=ebitda-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();