Latham (SWIM) Long-Term Investments (2020 - 2026)
Latham's Long-Term Investments was $28.4 million in Q2 2026, up 7.8% from $26.33 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Latham (SWIM) Long-Term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Latham came in at $26.48 million, up 6.4% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $24.89 million in FY2024 (-4.0%), $25.94 million in FY2023 (+3.4%), $25.1 million in FY2022 (+7.4%) and $23.36 million in FY2021 (-8.0%).
- The Q2 2026 figure marks the highest quarterly Long-Term Investments in data going back to Q4 2020.
- Compared with a year earlier, Long-Term Investments has increased for five straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q3 2022 (growth of 18.0%); the worst was Q4 2021 (a decline of 8.0%).
- Per Business Quant data, SWIM's Long-Term Investments in the three quarters before Q2 2026 was $27.32 million (Q1 2026), $26.48 million (Q4 2025) and $25.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.55 Bn | 94.27 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 86.89 Bn | 84.62 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 46.81 Bn | 41.12 Bn | 1.94 Bn | 1.34 Bn |
| 4 | Comfort Systems Usa | 44.93 Bn | 40.18 Bn | 844.23 Mn | - |
| 5 | Otis Worldwide | 28.87 Bn | 25.29 Bn | 1.14 Bn | - |
| 6 | Masco | 15.52 Bn | 13.37 Bn | 868.00 Mn | - |
| 7 | James Hardie Industries | 15.33 Bn | 14.40 Bn | 548.70 Mn | - |
| 8 | Allegion | 15.13 Bn | 13.84 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 14.17 Bn | 10.52 Bn | 568.40 Mn | - |
| 10 | Latham | 768.30 Mn | 768.30 Mn | 70.08 Mn | 28.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 28.40 Mn |
| Mar 28, 2026 | 27.32 Mn |
| Dec 31, 2025 | 26.48 Mn |
| Sep 27, 2025 | 25.83 Mn |
| Jun 28, 2025 | 26.33 Mn |
| Mar 29, 2025 | 25.84 Mn |
| Dec 31, 2024 | 24.89 Mn |
| Sep 28, 2024 | 25.43 Mn |
| Jun 29, 2024 | 24.92 Mn |
| Mar 30, 2024 | 26.34 Mn |
| Dec 31, 2023 | 25.94 Mn |
| Sep 30, 2023 | 25.23 Mn |
| Jul 1, 2023 | 25.79 Mn |
| Apr 1, 2023 | 25.13 Mn |
| Dec 31, 2022 | 25.10 Mn |
| Oct 1, 2022 | 25.95 Mn |
| Jul 2, 2022 | 24.62 Mn |
| Apr 2, 2022 | 23.90 Mn |
| Dec 31, 2021 | 23.36 Mn |
| Oct 2, 2021 | 22.00 Mn |
API Access
Latham Long-Term Investments 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=long-term-investments&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();