Watts Water Technologies (WTS) Cost of Revenue (2009 - 2026)
Watts Water Technologies (WTS) reported Cost of Revenue of $389.1 million for Q2 2026, up 22.4% from $317.8 million a year earlier and up 10.8% from the prior quarter.
Watts Water Technologies (WTS) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Watts Water Technologies' Cost of Revenue came in at $1.37 billion, up 16.3% year-over-year; for FY2025, it came in at $1.23 billion, up 3.6% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.19 billion in FY2024 (+8.7%), $1.1 billion in FY2023 (-0.9%), $1.11 billion in FY2022 (+6.1%) and $1.04 billion in FY2021 (+18.0%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2026 (growth of 23.0%); the low point was Q1 2025 (a decline of 5.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $351.2 million (Q1 2026), $315.8 million (Q4 2025) and $313.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Watts Water Technologies | 12.12 Bn | 10.53 Bn | 374.10 Mn | 389.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 389.10 Mn |
| Mar 29, 2026 | 351.20 Mn |
| Dec 31, 2025 | 315.80 Mn |
| Sep 28, 2025 | 313.30 Mn |
| Jun 29, 2025 | 317.80 Mn |
| Mar 30, 2025 | 285.50 Mn |
| Dec 31, 2024 | 287.80 Mn |
| Sep 29, 2024 | 286.50 Mn |
| Jun 30, 2024 | 312.50 Mn |
| Mar 31, 2024 | 303.40 Mn |
| Dec 31, 2023 | 291.90 Mn |
| Sep 24, 2023 | 269.90 Mn |
| Jun 25, 2023 | 280.00 Mn |
| Mar 26, 2023 | 253.60 Mn |
| Dec 31, 2022 | 283.30 Mn |
| Sep 25, 2022 | 269.90 Mn |
| Jun 26, 2022 | 287.40 Mn |
| Mar 27, 2022 | 264.60 Mn |
| Dec 31, 2021 | 274.60 Mn |
| Sep 26, 2021 | 261.00 Mn |
Watts Water Technologies 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=WTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "WTS", "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=WTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();