Latham (SWIM) Shares Outstanding (Diluted) (2020 - 2026)
Latham (SWIM) reported Shares Outstanding (Diluted) of 119.54 million for Q2 2026, up 0.1% from 119.39 million a year earlier and up 2.3% from the prior quarter.
Latham (SWIM) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Latham posted Shares Outstanding (Diluted) of 119.82 million, up 3.8% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 115.43 million in FY2024 (+2.2%), 112.9 million in FY2023 (-0.3%), 113.25 million in FY2022 (+2.4%) and 110.64 million in FY2021 (+7.8%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 110.64 million in Q4 2021 and a high of 119.91 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 14.4%); the low point was Q1 2022 (a decline of 6.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 116.89 million (Q1 2026), 119.82 million (Q4 2025) and 119.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | 222.50 Mn |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | 610.00 Mn |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | 836.50 Mn |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | 35.15 Mn |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | 383.50 Mn |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | 584.30 Mn |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | 199.00 Mn |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | 86.00 Mn |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | 40.50 Mn |
| 10 | Latham | 768.68 Mn | 768.68 Mn | 70.08 Mn | 119.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 119.54 Mn |
| Mar 28, 2026 | 116.89 Mn |
| Dec 31, 2025 | 119.82 Mn |
| Sep 27, 2025 | 119.91 Mn |
| Jun 28, 2025 | 119.39 Mn |
| Mar 29, 2025 | 115.89 Mn |
| Dec 31, 2024 | 115.43 Mn |
| Sep 28, 2024 | 118.45 Mn |
| Jun 29, 2024 | 117.02 Mn |
| Mar 30, 2024 | 115.04 Mn |
| Dec 31, 2023 | 112.90 Mn |
| Sep 30, 2023 | 114.66 Mn |
| Jul 1, 2023 | 112.69 Mn |
| Apr 1, 2023 | 112.10 Mn |
| Dec 31, 2022 | 113.25 Mn |
| Oct 1, 2022 | 113.20 Mn |
| Jul 2, 2022 | 115.38 Mn |
| Apr 2, 2022 | 113.70 Mn |
| Dec 31, 2021 | 110.64 Mn |
| Oct 2, 2021 | 112.15 Mn |
Latham Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();