Latham (SWIM) Accounts Payables (2020 - 2026)
Latham's Accounts Payables was $37.99 million in Q2 2026, up 45.2% from $26.17 million a year earlier and up 27.2% from the prior quarter.
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Analysis
Latham (SWIM) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Latham came in at $19.28 million, up 46.7% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $13.14 million in FY2024 (-23.3%), $17.13 million in FY2023 (-32.7%), $25.45 million in FY2022 (-33.0%) and $38 million in FY2021 (+41.2%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables since Q1 2023.
- Compared with a year earlier, Accounts Payables has increased for four straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q4 2025 (growth of 46.7%); the worst was Q1 2024 (a decline of 48.8%).
- Per Business Quant data, SWIM's Accounts Payables in the three quarters before Q2 2026 was $29.87 million (Q1 2026), $19.28 million (Q4 2025) and $29.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.61 Bn | 96.33 Bn | 2.26 Bn | 2.98 Bn |
| 2 | Johnson Controls International | 89.94 Bn | 87.67 Bn | 2.47 Bn | 3.92 Bn |
| 3 | Comfort Systems Usa | 49.13 Bn | 44.38 Bn | 844.23 Mn | 771.91 Mn |
| 4 | Carrier Global | 46.28 Bn | 40.59 Bn | 1.94 Bn | 3.22 Bn |
| 5 | Otis Worldwide | 27.56 Bn | 23.98 Bn | 1.14 Bn | 2.10 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 699.60 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 890.00 Mn |
| 8 | Carlisle Companies | 13.51 Bn | 9.86 Bn | 568.40 Mn | 408.40 Mn |
| 9 | Allegion | 13.39 Bn | 12.10 Bn | 517.50 Mn | 278.70 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn | 37.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 37.99 Mn |
| Mar 28, 2026 | 29.87 Mn |
| Dec 31, 2025 | 19.28 Mn |
| Sep 27, 2025 | 29.37 Mn |
| Jun 28, 2025 | 26.17 Mn |
| Mar 29, 2025 | 28.04 Mn |
| Dec 31, 2024 | 13.14 Mn |
| Sep 28, 2024 | 28.35 Mn |
| Jun 29, 2024 | 26.57 Mn |
| Mar 30, 2024 | 25.02 Mn |
| Dec 31, 2023 | 17.13 Mn |
| Sep 30, 2023 | 27.39 Mn |
| Jul 1, 2023 | 34.49 Mn |
| Apr 1, 2023 | 48.84 Mn |
| Dec 31, 2022 | 25.45 Mn |
| Oct 1, 2022 | 41.07 Mn |
| Jul 2, 2022 | 53.83 Mn |
| Apr 2, 2022 | 55.85 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Oct 2, 2021 | 39.92 Mn |
API Access
Latham Accounts Payables 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=accounts-payables&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();