Latham (SWIM) Tax Provisions (2020 - 2026)
Latham (SWIM) recorded Tax Provisions of $6.11 million in Q2 2026, up 19.2% from $5.13 million a year earlier.
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Analysis
Latham (SWIM) Tax Provisions (2020 - 2026) Analysis & Trends
On a TTM basis, Latham's Tax Provisions came in at $4.62 million as of Jun 27, 2026, down 49.8% year-over-year; for FY2025, it was $2.36 million, down 74.1% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -19.0% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $9.12 million in FY2024, -$7.67 million in FY2023, $19.42 million in FY2022 (+120.2%) and $8.82 million in FY2021 (+30.1%).
- Quarterly Tax Provisions has ranged from -$16.31 million in Q4 2023 to $10.98 million in Q2 2022 over the past five years.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 110.5% in Q2 2022, against a decline of 91.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$2.81 million (Q1 2026), -$6.15 million (Q4 2025) and $7.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.80 Bn | 96.52 Bn | 2.26 Bn | 218.20 Mn |
| 2 | Johnson Controls International | 89.52 Bn | 87.25 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Comfort Systems Usa | 49.56 Bn | 44.82 Bn | 844.23 Mn | 124.64 Mn |
| 4 | Carrier Global | 46.07 Bn | 40.37 Bn | 1.94 Bn | 180.00 Mn |
| 5 | Otis Worldwide | 27.55 Bn | 23.96 Bn | 1.14 Bn | 98.00 Mn |
| 6 | James Hardie Industries | 15.23 Bn | 14.30 Bn | 548.70 Mn | 53.00 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 107.00 Mn |
| 8 | Carlisle Companies | 13.53 Bn | 9.88 Bn | 568.40 Mn | 76.00 Mn |
| 9 | Allegion | 13.34 Bn | 12.05 Bn | 517.50 Mn | 43.30 Mn |
| 10 | Latham | 741.28 Mn | 741.28 Mn | 70.08 Mn | 6.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 6.11 Mn |
| Mar 28, 2026 | -2.81 Mn |
| Dec 31, 2025 | -6.15 Mn |
| Sep 27, 2025 | 7.47 Mn |
| Jun 28, 2025 | 5.13 Mn |
| Mar 29, 2025 | -4.08 Mn |
| Dec 31, 2024 | 8.19 Mn |
| Sep 28, 2024 | -43,000.00 |
| Jun 29, 2024 | 442,000.00 |
| Mar 30, 2024 | 532,000.00 |
| Dec 31, 2023 | -16.31 Mn |
| Sep 30, 2023 | 6.69 Mn |
| Jul 1, 2023 | 4.88 Mn |
| Apr 1, 2023 | -2.93 Mn |
| Dec 31, 2022 | -5.98 Mn |
| Oct 1, 2022 | 9.11 Mn |
| Jul 2, 2022 | 10.98 Mn |
| Apr 2, 2022 | 5.31 Mn |
| Dec 31, 2021 | -7.09 Mn |
| Oct 2, 2021 | 7.81 Mn |
API Access
Latham Tax Provisions 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=tax-provisions&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();