Latham (SWIM) Cost of Revenue (2020 - 2026)
Latham (SWIM) recorded Cost of Revenue of $127.4 million in Q2 2026, up 17.2% from $108.68 million a year earlier and up 58.9% from the prior quarter.
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Analysis
Latham (SWIM) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Latham's Cost of Revenue came in at $384.16 million as of Jun 27, 2026, up 8.3% year-over-year; for FY2025, it was $363.82 million, up 2.6% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $354.78 million in FY2024 (-14.2%), $413.55 million in FY2023 (-13.7%), $479.27 million in FY2022 (+12.4%) and $426.29 million in FY2021 (+63.6%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q3 2022.
- On a year-over-year basis, Cost of Revenue has increased for five consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 43.7% in Q3 2021, against a decline of 23.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.16 million (Q1 2026), $72.01 million (Q4 2025) and $104.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 97.89 Bn | 92.63 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 87.19 Bn | 84.95 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 46.36 Bn | 40.99 Bn | 1.94 Bn | 4.41 Bn |
| 4 | Comfort Systems Usa | 40.59 Bn | 34.55 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 28.61 Bn | 25.21 Bn | 1.14 Bn | 2.72 Bn |
| 6 | Allegion | 15.24 Bn | 13.95 Bn | 517.50 Mn | 634.00 Mn |
| 7 | James Hardie Industries | 15.18 Bn | 14.25 Bn | 548.70 Mn | 925.90 Mn |
| 8 | Masco | 14.99 Bn | 13.10 Bn | 868.00 Mn | 1.12 Bn |
| 9 | Carlisle Companies | 13.74 Bn | 10.09 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Latham | 780.43 Mn | 780.43 Mn | 70.08 Mn | 127.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 127.40 Mn |
| Mar 28, 2026 | 80.16 Mn |
| Dec 31, 2025 | 72.01 Mn |
| Sep 27, 2025 | 104.60 Mn |
| Jun 28, 2025 | 108.68 Mn |
| Mar 29, 2025 | 78.54 Mn |
| Dec 31, 2024 | 65.83 Mn |
| Sep 28, 2024 | 101.81 Mn |
| Jun 29, 2024 | 107.10 Mn |
| Mar 30, 2024 | 80.04 Mn |
| Dec 31, 2023 | 69.67 Mn |
| Sep 30, 2023 | 112.63 Mn |
| Jul 1, 2023 | 126.90 Mn |
| Apr 1, 2023 | 104.35 Mn |
| Dec 31, 2022 | 88.59 Mn |
| Oct 1, 2022 | 130.52 Mn |
| Jul 2, 2022 | 139.19 Mn |
| Apr 2, 2022 | 120.96 Mn |
| Dec 31, 2021 | 96.49 Mn |
| Oct 2, 2021 | 110.97 Mn |
API Access
Latham Cost of Revenue 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=cost-of-revenue&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();