Latham (SWIM) Accumulated Expenses (2020 - 2024)
Latham's Accumulated Expenses was $50.89 million in Q4 2022, down 13.9% from $59.1 million a year earlier and down 20.6% from the prior quarter.
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Analysis
Latham (SWIM) Accumulated Expenses (2020 - 2024) Analysis & Trends
From Q4 2020 onward, Latham has reported Accumulated Expenses for 9 quarters.
- In earlier years, Accumulated Expenses was $59.1 million in FY2021 (+10.5%) and $53.48 million in FY2020.
- The Q4 2022 figure marks the lowest quarterly Accumulated Expenses since Q1 2021.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last five quarters, with growth averaging 5.4%.
- Per Business Quant data, SWIM's Accumulated Expenses in the three quarters before Q4 2022 was $64.08 million (Q3 2022), $59.85 million (Q2 2022) and $57.26 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.35 Bn | 94.07 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 87.99 Bn | 85.72 Bn | 2.47 Bn |
| 3 | Carrier Global | 46.87 Bn | 41.18 Bn | 1.94 Bn |
| 4 | Comfort Systems Usa | 45.23 Bn | 40.49 Bn | 844.23 Mn |
| 5 | Otis Worldwide | 28.84 Bn | 25.25 Bn | 1.14 Bn |
| 6 | Masco | 15.51 Bn | 13.37 Bn | 868.00 Mn |
| 7 | James Hardie Industries | 15.41 Bn | 14.48 Bn | 548.70 Mn |
| 8 | Allegion | 15.05 Bn | 13.76 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 14.17 Bn | 10.52 Bn | 568.40 Mn |
| 10 | Latham | 768.30 Mn | 768.30 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 4.15 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Dec 31, 2022 | 2.87 Mn |
| Oct 1, 2022 | 64.08 Mn |
| Jul 2, 2022 | 59.85 Mn |
| Apr 2, 2022 | 57.26 Mn |
| Dec 31, 2021 | 59.10 Mn |
| Oct 2, 2021 | 59.45 Mn |
| Jul 3, 2021 | 55.66 Mn |
| Apr 3, 2021 | 49.68 Mn |
| Dec 31, 2020 | 53.48 Mn |
API Access
Latham Accumulated Expenses 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=accumulated-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();