Latham (SWIM) Property, Plant & Equipment (Net) (2020 - 2026)
Latham (SWIM) posted Property, Plant & Equipment (Net) of $136.33 million for Q2 2026, up 19.2% from $114.42 million a year earlier but down 1.3% from the prior quarter.
Latham (SWIM) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham's Property, Plant & Equipment (Net) came in at $118.82 million, up 5.3% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- In prior years, Latham's Property, Plant & Equipment (Net) was $112.85 million in FY2024 (-0.1%), $113.01 million in FY2023 (+15.1%), $98.18 million in FY2022 (+54.6%) and $63.51 million in FY2021 (+34.1%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $58.77 million in Q3 2021 to a high of $138.15 million in Q1 2026 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last three quarters, with growth averaging 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2023, with growth of 55.0%; the weakest was Q1 2025, with a decline of 0.7%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $138.15 million (Q1 2026), $118.82 million (Q4 2025) and $114.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 97.89 Bn | 92.63 Bn | 2.26 Bn | 2.39 Bn |
| 2 | Johnson Controls International | 87.19 Bn | 84.95 Bn | 2.47 Bn | 1.98 Bn |
| 3 | Carrier Global | 46.36 Bn | 40.99 Bn | 1.94 Bn | 3.16 Bn |
| 4 | Comfort Systems Usa | 40.59 Bn | 34.55 Bn | 934.48 Mn | 862.73 Mn |
| 5 | Otis Worldwide | 28.61 Bn | 25.21 Bn | 1.14 Bn | 755.00 Mn |
| 6 | Allegion | 15.24 Bn | 13.95 Bn | 517.50 Mn | 451.80 Mn |
| 7 | James Hardie Industries | 15.18 Bn | 14.25 Bn | 548.70 Mn | 3.05 Bn |
| 8 | Masco | 14.99 Bn | 13.10 Bn | 868.00 Mn | 1.19 Bn |
| 9 | Carlisle Companies | 13.74 Bn | 10.09 Bn | 568.40 Mn | 827.60 Mn |
| 10 | Latham | 780.43 Mn | 780.43 Mn | 70.08 Mn | 136.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 136.33 Mn |
| Mar 28, 2026 | 138.15 Mn |
| Dec 31, 2025 | 118.82 Mn |
| Sep 27, 2025 | 114.11 Mn |
| Jun 28, 2025 | 114.42 Mn |
| Mar 29, 2025 | 112.00 Mn |
| Dec 31, 2024 | 112.85 Mn |
| Sep 28, 2024 | 114.68 Mn |
| Jun 29, 2024 | 112.65 Mn |
| Mar 30, 2024 | 112.80 Mn |
| Dec 31, 2023 | 113.01 Mn |
| Sep 30, 2023 | 110.33 Mn |
| Jul 1, 2023 | 111.14 Mn |
| Apr 1, 2023 | 105.17 Mn |
| Dec 31, 2022 | 98.18 Mn |
| Oct 1, 2022 | 84.15 Mn |
| Jul 2, 2022 | 74.83 Mn |
| Apr 2, 2022 | 67.84 Mn |
| Dec 31, 2021 | 63.51 Mn |
| Oct 2, 2021 | 58.77 Mn |
Latham Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();