Latham (SWIM) Raw Materials (2020 - 2025)
Latham (SWIM) posted Raw Materials of $50.21 million for Q3 2025, up 7.0% from $46.94 million a year earlier but down 6.4% from the prior quarter.
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Analysis
Latham (SWIM) Raw Materials (2020 - 2025) Analysis & Trends
At the end of FY2024, Latham's Raw Materials came in at $49.32 million, down 10.5% from FY2023.
- Annual Raw Materials shows a four-year compound annual growth rate of 7.4% (FY2020 to FY2024).
- In prior years, Latham's Raw Materials was $55.08 million in FY2023 (-42.3%), $95.39 million in FY2022 (+23.1%), $77.51 million in FY2021 (+109.4%) and $37.01 million in FY2020.
- Quarterly Raw Materials has run from a low of $37.01 million in Q4 2020 to a high of $105.13 million in Q2 2022 over five years.
- On a year-over-year basis, Raw Materials has increased in each of the last three quarters, with an average decline of 15.4% over the last eight quarters.
- The strongest year-over-year quarter for Raw Materials in the past five years was Q2 2022, with growth of 116.0%; the weakest was Q4 2023, with a decline of 42.3%.
- According to Business Quant data, Raw Materials for the three prior quarters was $53.63 million (Q2 2025), $58.74 million (Q1 2025) and $49.32 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.04 Bn | 95.76 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.16 Bn | 86.89 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.16 Bn | 44.41 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.87 Bn | 40.18 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.51 Bn | 23.93 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.17 Bn | 14.24 Bn | 548.70 Mn |
| 7 | Masco | 14.83 Bn | 12.69 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.49 Bn | 9.84 Bn | 568.40 Mn |
| 9 | Allegion | 13.33 Bn | 12.04 Bn | 517.50 Mn |
| 10 | Latham | 739.52 Mn | 739.52 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 50.21 Mn |
| Jun 28, 2025 | 53.63 Mn |
| Mar 29, 2025 | 58.74 Mn |
| Dec 31, 2024 | 49.32 Mn |
| Sep 28, 2024 | 46.94 Mn |
| Jun 29, 2024 | 53.09 Mn |
| Mar 30, 2024 | 53.15 Mn |
| Dec 31, 2023 | 55.08 Mn |
| Sep 30, 2023 | 60.04 Mn |
| Jul 1, 2023 | 74.05 Mn |
| Apr 1, 2023 | 86.59 Mn |
| Dec 31, 2022 | 95.39 Mn |
| Oct 1, 2022 | 96.48 Mn |
| Jul 2, 2022 | 105.13 Mn |
| Apr 2, 2022 | 92.33 Mn |
| Dec 31, 2021 | 77.51 Mn |
| Oct 2, 2021 | 57.17 Mn |
| Jul 3, 2021 | 48.68 Mn |
| Apr 3, 2021 | 44.47 Mn |
| Dec 31, 2020 | 37.01 Mn |
API Access
Latham Raw Materials 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=raw-materials&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();