Latham (SWIM) Capital Expenditures (2020 - 2026)
Latham (SWIM) posted Capital Expenditures of $5.55 million for Q2 2026, down 19.4% from $6.89 million a year earlier and down 47.1% from the prior quarter.
Powered by 
Analysis
Latham (SWIM) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Capital Expenditures at Latham was $31.09 million, up 50.7% year-over-year; for FY2025, it was $25.39 million, up 26.2% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In prior years, Latham's Capital Expenditures was $20.12 million in FY2024 (-39.4%), $33.19 million in FY2023 (-16.4%), $39.68 million in FY2022 (+58.9%) and $24.98 million in FY2021 (+53.6%).
- The Q2 2026 figure stands as the lowest quarterly Capital Expenditures since Q1 2025.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 38.0%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2026, with growth of 204.2%; the weakest was Q2 2024, with a decline of 66.6%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $10.5 million (Q1 2026), $9.23 million (Q4 2025) and $5.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.87 Bn | 97.59 Bn | 2.26 Bn | 76.40 Mn |
| 2 | Johnson Controls International | 91.06 Bn | 88.79 Bn | 2.47 Bn | 95.00 Mn |
| 3 | Comfort Systems Usa | 49.19 Bn | 44.44 Bn | 844.23 Mn | 141.36 Mn |
| 4 | Carrier Global | 46.30 Bn | 40.61 Bn | 1.94 Bn | 117.00 Mn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 44.00 Mn |
| 6 | James Hardie Industries | 15.16 Bn | 14.23 Bn | 548.70 Mn | 89.80 Mn |
| 7 | Masco | 14.88 Bn | 12.73 Bn | 868.00 Mn | 43.00 Mn |
| 8 | Carlisle Companies | 13.74 Bn | 10.08 Bn | 568.40 Mn | 41.70 Mn |
| 9 | Allegion | 13.37 Bn | 12.08 Bn | 517.50 Mn | 17.90 Mn |
| 10 | Latham | 747.15 Mn | 747.15 Mn | 70.08 Mn | 5.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.55 Mn |
| Mar 28, 2026 | 10.50 Mn |
| Dec 31, 2025 | 9.23 Mn |
| Sep 27, 2025 | 5.82 Mn |
| Jun 28, 2025 | 6.89 Mn |
| Mar 29, 2025 | 3.45 Mn |
| Dec 31, 2024 | 6.26 Mn |
| Sep 28, 2024 | 4.03 Mn |
| Jun 29, 2024 | 4.49 Mn |
| Mar 30, 2024 | 5.35 Mn |
| Dec 31, 2023 | 4.92 Mn |
| Sep 30, 2023 | 4.91 Mn |
| Jul 1, 2023 | 13.42 Mn |
| Apr 1, 2023 | 9.94 Mn |
| Dec 31, 2022 | 10.68 Mn |
| Oct 1, 2022 | 12.25 Mn |
| Jul 2, 2022 | 10.08 Mn |
| Apr 2, 2022 | 6.67 Mn |
| Dec 31, 2021 | 5.73 Mn |
| Oct 2, 2021 | 6.28 Mn |
API Access
Latham Capital Expenditures 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=capital-expenditures&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();