Latham (SWIM) Receivables (2020 - 2026)
Latham (SWIM) reported Receivables of $95.23 million for Q2 2026, up 7.5% from $88.55 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Latham (SWIM) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham posted Receivables of $39.91 million, up 23.6% from FY2024.
- Receivables has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By year, Receivables came in at $32.3 million in FY2024 (+6.2%), $30.41 million in FY2023 (-37.8%), $48.85 million in FY2022 (-19.6%) and $60.75 million in FY2021 (+85.5%).
- The Q2 2026 figure ranks as the highest quarterly Receivables since Q1 2023.
- Year over year, Receivables has now increased in each of the last seven quarters, with growth averaging 13.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q4 2021 (growth of 85.5%); the low point was Q4 2023 (a decline of 37.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $89.21 million (Q1 2026), $39.91 million (Q4 2025) and $81.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.72 Bn | 96.44 Bn | 2.26 Bn | 4.23 Bn |
| 2 | Johnson Controls International | 89.48 Bn | 87.21 Bn | 2.47 Bn | 9.55 Bn |
| 3 | Comfort Systems Usa | 49.75 Bn | 45.01 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.96 Bn | 40.27 Bn | 1.94 Bn | 3.70 Bn |
| 5 | Otis Worldwide | 27.46 Bn | 23.87 Bn | 1.14 Bn | 4.81 Bn |
| 6 | James Hardie Industries | 15.26 Bn | 14.33 Bn | 548.70 Mn | 499.60 Mn |
| 7 | Masco | 14.86 Bn | 12.72 Bn | 868.00 Mn | 1.34 Bn |
| 8 | Carlisle Companies | 13.52 Bn | 9.87 Bn | 568.40 Mn | 955.90 Mn |
| 9 | Allegion | 13.37 Bn | 12.08 Bn | 517.50 Mn | 559.70 Mn |
| 10 | Latham | 742.45 Mn | 742.45 Mn | 70.08 Mn | 95.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 95.23 Mn |
| Mar 28, 2026 | 89.21 Mn |
| Dec 31, 2025 | 39.91 Mn |
| Sep 27, 2025 | 81.11 Mn |
| Jun 28, 2025 | 88.55 Mn |
| Mar 29, 2025 | 83.76 Mn |
| Dec 31, 2024 | 32.30 Mn |
| Sep 28, 2024 | 66.13 Mn |
| Jun 29, 2024 | 65.87 Mn |
| Mar 30, 2024 | 73.94 Mn |
| Dec 31, 2023 | 30.41 Mn |
| Sep 30, 2023 | 72.41 Mn |
| Jul 1, 2023 | 81.80 Mn |
| Apr 1, 2023 | 102.37 Mn |
| Dec 31, 2022 | 48.85 Mn |
| Oct 1, 2022 | 102.99 Mn |
| Jul 2, 2022 | 104.70 Mn |
| Apr 2, 2022 | 139.02 Mn |
| Dec 31, 2021 | 60.75 Mn |
| Oct 2, 2021 | 75.31 Mn |
API Access
Latham Receivables 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=receivables&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();