Latham (SWIM) EBIT (2020 - 2026)
Latham (SWIM) reported EBIT of $25.09 million for Q2 2026, up 1.5% from $24.72 million a year earlier.
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Analysis
Latham (SWIM) EBIT (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Latham's EBIT came in at $29.28 million, up 45.4% year-over-year; for FY2025, it was $30.58 million, up 67.3% from FY2024.
- EBIT has a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- By year, EBIT came in at $18.28 million in FY2024 (+13.3%), $16.13 million in FY2023 (-46.3%), $30.01 million in FY2022 and -$36.18 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EBIT since Q3 2020.
- Year over year, EBIT gained in three of the last four quarters, with growth averaging 15.0%.
- The high point for year-over-year EBIT in five years was Q3 2025 (growth of 60.9%); the low point was Q1 2022 (a decline of 65.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$6.6 million (Q1 2026), -$10.72 million (Q4 2025) and $21.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.13 Bn | 96.85 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 89.85 Bn | 87.58 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 49.83 Bn | 45.09 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 46.21 Bn | 40.52 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 27.61 Bn | 24.03 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 15.38 Bn | 14.45 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 14.94 Bn | 12.79 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Carlisle Companies | 13.61 Bn | 9.95 Bn | 568.40 Mn | 352.50 Mn |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn | 254.70 Mn |
| 10 | Latham | 745.98 Mn | 745.98 Mn | 70.08 Mn | 25.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 25.09 Mn |
| Mar 28, 2026 | -6.60 Mn |
| Dec 31, 2025 | -10.72 Mn |
| Sep 27, 2025 | 21.51 Mn |
| Jun 28, 2025 | 24.72 Mn |
| Mar 29, 2025 | -4.93 Mn |
| Dec 31, 2024 | -13.03 Mn |
| Sep 28, 2024 | 13.37 Mn |
| Jun 29, 2024 | 20.01 Mn |
| Mar 30, 2024 | -2.07 Mn |
| Dec 31, 2023 | -9.02 Mn |
| Sep 30, 2023 | 18.08 Mn |
| Jul 1, 2023 | 13.39 Mn |
| Apr 1, 2023 | -6.32 Mn |
| Dec 31, 2022 | -20.41 Mn |
| Oct 1, 2022 | 24.97 Mn |
| Jul 2, 2022 | 18.65 Mn |
| Apr 2, 2022 | 6.80 Mn |
| Dec 31, 2021 | -10.87 Mn |
| Oct 2, 2021 | -2.57 Mn |
API Access
Latham EBIT 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=ebit&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();