Latham (SWIM) Finished Goods (2020 - 2025)
Latham (SWIM) posted Finished Goods of $20.11 million for Q3 2025, down 28.2% from $28 million a year earlier and down 19.6% from the prior quarter.
Analysis
Latham (SWIM) Finished Goods (2020 - 2025) Analysis & Trends
At the end of FY2024, Latham's Finished Goods came in at $27.78 million, down 33.9% from FY2023.
- Annual Finished Goods shows a four-year compound annual growth rate of 0.0% (FY2020 to FY2024).
- In prior years, Latham's Finished Goods was $42.06 million in FY2023 (-39.8%), $69.83 million in FY2022 (+117.9%), $32.05 million in FY2021 (+15.2%) and $27.81 million in FY2020.
- The Q3 2025 figure stands as the lowest quarterly Finished Goods in data going back to Q4 2020.
- On a year-over-year basis, Finished Goods has declined in each of the last ten quarters, with an average decline of 32.9% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q3 2022, with growth of 197.2%; the weakest was Q2 2024, with a decline of 41.7%.
- According to Business Quant data, Finished Goods for the three prior quarters was $25.02 million (Q2 2025), $28.13 million (Q1 2025) and $27.78 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 20.11 Mn |
| Jun 28, 2025 | 25.02 Mn |
| Mar 29, 2025 | 28.13 Mn |
| Dec 31, 2024 | 27.78 Mn |
| Sep 28, 2024 | 28.00 Mn |
| Jun 29, 2024 | 30.58 Mn |
| Mar 30, 2024 | 42.01 Mn |
| Dec 31, 2023 | 42.06 Mn |
| Sep 30, 2023 | 43.19 Mn |
| Jul 1, 2023 | 52.47 Mn |
| Apr 1, 2023 | 62.96 Mn |
| Dec 31, 2022 | 69.83 Mn |
| Oct 1, 2022 | 69.95 Mn |
| Jul 2, 2022 | 56.79 Mn |
| Apr 2, 2022 | 47.73 Mn |
| Dec 31, 2021 | 32.05 Mn |
| Oct 2, 2021 | 23.54 Mn |
| Jul 3, 2021 | 25.80 Mn |
| Apr 3, 2021 | 29.66 Mn |
| Dec 31, 2020 | 27.81 Mn |
API Access
Latham Finished Goods 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=finished-goods&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();