Latham (SWIM) EBT (2020 - 2026)
Latham's EBT was $18.87 million in Q2 2026, down 10.6% from $21.11 million a year earlier.
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Analysis
Latham (SWIM) EBT (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latham's EBT was $9.95 million through Jun 27, 2026; for FY2025, it was $13.49 million.
- EBT shows a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In earlier years, EBT was -$8.74 million in FY2024, -$10.06 million in FY2023, $13.72 million in FY2022 and -$53.53 million in FY2021.
- Quarterly EBT has moved between -$25.02 million (Q4 2022) and $21.11 million (Q2 2025) over five years.
- Compared with a year earlier, EBT was higher in two of the last four quarters, with growth averaging 38.8%.
- The best year-over-year quarter for EBT over five years was Q3 2025 (growth of 166.2%); the worst was Q1 2022 (a decline of 78.4%).
- Per Business Quant data, SWIM's EBT in the three quarters before Q2 2026 was -$11.34 million (Q1 2026), -$13.16 million (Q4 2025) and $15.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.57 Bn | 96.29 Bn | 2.26 Bn | 1.16 Bn |
| 2 | Johnson Controls International | 89.24 Bn | 86.97 Bn | 2.47 Bn | 917.00 Mn |
| 3 | Comfort Systems Usa | 49.58 Bn | 44.83 Bn | 844.23 Mn | 566.24 Mn |
| 4 | Carrier Global | 45.93 Bn | 40.24 Bn | 1.94 Bn | 721.00 Mn |
| 5 | Otis Worldwide | 27.48 Bn | 23.90 Bn | 1.14 Bn | 547.00 Mn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 157.30 Mn |
| 7 | Masco | 14.90 Bn | 12.76 Bn | 868.00 Mn | 440.00 Mn |
| 8 | Carlisle Companies | 13.55 Bn | 9.90 Bn | 568.40 Mn | 333.70 Mn |
| 9 | Allegion | 13.38 Bn | 12.09 Bn | 517.50 Mn | 227.90 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 18.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.87 Mn |
| Mar 28, 2026 | -11.34 Mn |
| Dec 31, 2025 | -13.16 Mn |
| Sep 27, 2025 | 15.58 Mn |
| Jun 28, 2025 | 21.11 Mn |
| Mar 29, 2025 | -10.04 Mn |
| Dec 31, 2024 | -20.98 Mn |
| Sep 28, 2024 | 5.85 Mn |
| Jun 29, 2024 | 13.72 Mn |
| Mar 30, 2024 | -7.33 Mn |
| Dec 31, 2023 | -16.20 Mn |
| Sep 30, 2023 | 12.84 Mn |
| Jul 1, 2023 | 10.60 Mn |
| Apr 1, 2023 | -17.30 Mn |
| Dec 31, 2022 | -25.02 Mn |
| Oct 1, 2022 | 20.99 Mn |
| Jul 2, 2022 | 15.29 Mn |
| Apr 2, 2022 | 2.47 Mn |
| Dec 31, 2021 | -13.08 Mn |
| Oct 2, 2021 | -3.49 Mn |
API Access
Latham EBT 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=ebt&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();