Latham (SWIM) Return on Equity [ROE] (2020 - 2026)
Latham's Return on Equity [ROE] was 1.32% in Q2 2026, up 4.72 percentage points from -3.40% a year earlier but down 0.81 percentage points from the prior quarter.
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Analysis
Latham (SWIM) Return on Equity [ROE] (2020 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Latham came in at 2.81%, up 7.35 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of -3.92 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -4.54% in FY2024 (-3.93 pp), -0.61% in FY2023 (+0.94 pp), -1.55% in FY2022 (+18.08 pp) and -19.63% in FY2021 (-26.35 pp).
- Quarterly Return on Equity [ROE] has moved between -20.09% (Q1 2022) and 2.92% (Q2 2024) over five years.
- Compared with a year earlier, Return on Equity [ROE] has increased for three straight quarters, with an average year-over-year change of +0.70 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q3 2022 (a gain of 19.91 percentage points); the worst was Q1 2022 (a drop of 40.23 percentage points).
- Per Business Quant data, SWIM's Return on Equity [ROE] in the three quarters before Q2 2026 was 2.13% (Q1 2026), 2.73% (Q4 2025) and -2.74% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.61 Bn | 96.33 Bn | 2.26 Bn | 34.45% |
| 2 | Johnson Controls International | 89.22 Bn | 86.95 Bn | 2.47 Bn | 26.99% |
| 3 | Comfort Systems Usa | 46.88 Bn | 42.14 Bn | 844.23 Mn | 11.57% |
| 4 | Carrier Global | 46.02 Bn | 40.32 Bn | 1.94 Bn | 9.70% |
| 5 | Otis Worldwide | 27.87 Bn | 24.29 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.31 Bn | 14.38 Bn | 548.70 Mn | 2.17% |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | - |
| 8 | Allegion | 14.73 Bn | 13.44 Bn | 517.50 Mn | 31.21% |
| 9 | Carlisle Companies | 13.74 Bn | 10.09 Bn | 568.40 Mn | 44.31% |
| 10 | Latham | 743.04 Mn | 743.04 Mn | 70.08 Mn | 1.32% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.32% |
| Mar 28, 2026 | 2.13% |
| Dec 31, 2025 | 2.73% |
| Sep 27, 2025 | -2.74% |
| Jun 28, 2025 | -3.40% |
| Mar 29, 2025 | -4.15% |
| Dec 31, 2024 | -4.44% |
| Sep 28, 2024 | 2.77% |
| Jun 29, 2024 | 2.92% |
| Mar 30, 2024 | 1.04% |
| Dec 31, 2023 | -0.60% |
| Sep 30, 2023 | -5.53% |
| Jul 1, 2023 | -4.15% |
| Apr 1, 2023 | -4.55% |
| Dec 31, 2022 | -1.46% |
| Oct 1, 2022 | 1.89% |
| Jul 2, 2022 | -4.15% |
| Apr 2, 2022 | -20.09% |
| Dec 31, 2021 | -18.09% |
| Oct 2, 2021 | -18.02% |
API Access
Latham Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();