Latham (SWIM) Shares Outstanding (2020 - 2026)
Latham (SWIM) recorded Shares Outstanding of 117.48 million in Q2 2026, up 0.9% from 116.47 million a year earlier and up 0.5% from the prior quarter.
Analysis
Latham (SWIM) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Latham reported Shares Outstanding of 116.42 million, up 0.9% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding 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 (+8.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q1 2020.
- On a year-over-year basis, Shares Outstanding has increased for ten consecutive quarters, with growth averaging 1.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 15.2% in Q3 2021, against a decline of 1.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 116.89 million (Q1 2026), 116.42 million (Q4 2025) and 116.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 221.00 Mn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 608.00 Mn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 35.22 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 828.10 Mn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 382.60 Mn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 580.30 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 199.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 40.20 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 85.70 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 117.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 117.48 Mn |
| Mar 28, 2026 | 116.89 Mn |
| Dec 31, 2025 | 116.42 Mn |
| Sep 27, 2025 | 116.60 Mn |
| Jun 28, 2025 | 116.47 Mn |
| Mar 29, 2025 | 115.89 Mn |
| Dec 31, 2024 | 115.43 Mn |
| Sep 28, 2024 | 115.56 Mn |
| Jun 29, 2024 | 115.47 Mn |
| Mar 30, 2024 | 115.04 Mn |
| Dec 31, 2023 | 112.90 Mn |
| Sep 30, 2023 | 113.54 Mn |
| Jul 1, 2023 | 112.25 Mn |
| Apr 1, 2023 | 112.10 Mn |
| Dec 31, 2022 | 113.25 Mn |
| Oct 1, 2022 | 113.17 Mn |
| Jul 2, 2022 | 113.69 Mn |
| Apr 2, 2022 | 113.70 Mn |
| Dec 31, 2021 | 110.64 Mn |
| Oct 2, 2021 | 112.15 Mn |
API Access
Latham Shares Outstanding 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&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();