Ecolab (ECL) Capital Expenditures (2009 - 2026)
Ecolab's Capital Expenditures came in at $240.1 million for Q2 2026, up 10.8% from $216.7 million a year earlier but down 31.1% from the prior quarter.
Ecolab (ECL) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ecolab reported Capital Expenditures of $1.18 billion, up 12.5% year-over-year; for FY2025, it was $1.05 billion, up 5.4% from FY2024.
- Capital Expenditures has increased in each of the last five years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $994.5 million in FY2024 (+28.4%), $774.8 million in FY2023 (+8.7%), $712.8 million in FY2022 (+10.9%) and $643 million in FY2021 (+31.5%).
- The five-year range for quarterly Capital Expenditures is $148.7 million (Q1 2022) to $359.7 million (Q4 2024).
- Year-over-year, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 20.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 73.0%), and the weakest in Q3 2023 (a decline of 13.5%).
- Business Quant data shows ECL's Capital Expenditures at $348.5 million (Q1 2026), $332.1 million (Q4 2025) and $261.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 240.10 Mn |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | 12.00 Mn |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 89.00 Mn |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | 4.84 Mn |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | 4.90 Mn |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | 4.22 Mn |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | 875,000.00 |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | - |
| 10 | LanzaTech Global | 77.10 Mn | -38.04 Mn | 1.91 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.10 Mn |
| Mar 31, 2026 | 348.50 Mn |
| Dec 31, 2025 | 332.10 Mn |
| Sep 30, 2025 | 261.60 Mn |
| Jun 30, 2025 | 216.70 Mn |
| Mar 31, 2025 | 237.90 Mn |
| Dec 31, 2024 | 359.70 Mn |
| Sep 30, 2024 | 236.40 Mn |
| Jun 30, 2024 | 196.90 Mn |
| Mar 31, 2024 | 201.50 Mn |
| Dec 31, 2023 | 262.60 Mn |
| Sep 30, 2023 | 166.50 Mn |
| Jun 30, 2023 | 172.00 Mn |
| Mar 31, 2023 | 173.70 Mn |
| Dec 31, 2022 | 202.80 Mn |
| Sep 30, 2022 | 192.50 Mn |
| Jun 30, 2022 | 168.80 Mn |
| Mar 31, 2022 | 148.70 Mn |
| Dec 31, 2021 | 219.20 Mn |
| Sep 30, 2021 | 178.20 Mn |
Ecolab Capital Expenditures 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=capital-expenditures&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ECL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();