Latham (SWIM) Change in Taxes (2020 - 2026)
Latham (SWIM) posted Change in Taxes of -$5.92 million for Q2 2026, compared with $300,000 a year earlier.
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Analysis
Latham (SWIM) Change in Taxes (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Taxes at Latham was $395,000, down 94.5% year-over-year; for FY2025, it was $8.21 million, up 175.5% from FY2024.
- Annual Change in Taxes shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Latham's Change in Taxes was $2.98 million in FY2024, -$1.33 million in FY2023, -$1.72 million in FY2022 and -$338,000 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Change in Taxes in data going back to Q1 2020.
- On a year-over-year basis, Change in Taxes increased in two of the last four quarters, with growth averaging 221.0%.
- The strongest year-over-year quarter for Change in Taxes in the past five years was Q1 2025, with growth of 980.4%; the weakest was Q1 2022, with a decline of 98.8%.
- According to Business Quant data, Change in Taxes for the three prior quarters was $3.03 million (Q1 2026), $2.61 million (Q4 2025) and $679,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | 125.00 Mn |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | - |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | - |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | 13.60 Mn |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | - |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | - |
| 10 | Latham | 768.68 Mn | 768.68 Mn | 70.08 Mn | 5.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.92 Mn |
| Mar 28, 2026 | -3.03 Mn |
| Dec 31, 2025 | -2.61 Mn |
| Sep 27, 2025 | -679,000.00 |
| Jun 28, 2025 | -300,000.00 |
| Mar 29, 2025 | -4.62 Mn |
| Dec 31, 2024 | 3.57 Mn |
| Sep 28, 2024 | -5.89 Mn |
| Jun 29, 2024 | -237,000.00 |
| Mar 30, 2024 | -428,000.00 |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | -130,000.00 |
| Jul 1, 2023 | 1.41 Mn |
| Apr 1, 2023 | -2.82 Mn |
| Dec 31, 2022 | 3.77 Mn |
| Oct 1, 2022 | -702,000.00 |
| Jul 2, 2022 | -1.32 Mn |
| Apr 2, 2022 | -26,000.00 |
| Dec 31, 2021 | 2.09 Mn |
| Oct 2, 2021 | -1.68 Mn |
API Access
Latham Change in Taxes 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=change-in-taxes&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();