Ecolab (ECL) Land & Improvements (2009 - 2026)
Ecolab (ECL) recorded Land & Improvements of $148.1 million in Q2 2026, up 3.2% from $143.5 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Ecolab (ECL) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Ecolab reported Land & Improvements of $149.2 million, up 3.3% from FY2024.
- Annual Land & Improvements has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $144.5 million in FY2024 (-7.1%), $155.6 million in FY2023 (-3.5%), $161.3 million in FY2022 (+1.3%) and $159.2 million in FY2021 (-0.3%).
- Quarterly Land & Improvements has ranged from $143.3 million in Q1 2025 to $167.7 million in Q1 2022 over the past five years.
- On a year-over-year basis, Land & Improvements has increased for three consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 4.8% in Q3 2022, against a decline of 7.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $148.7 million (Q1 2026), $149.2 million (Q4 2025) and $150.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 148.10 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | - |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | - |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | - |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | - |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.10 Mn |
| Mar 31, 2026 | 148.70 Mn |
| Dec 31, 2025 | 149.20 Mn |
| Sep 30, 2025 | 150.30 Mn |
| Jun 30, 2025 | 143.50 Mn |
| Mar 31, 2025 | 143.30 Mn |
| Dec 31, 2024 | 144.50 Mn |
| Sep 30, 2024 | 155.90 Mn |
| Jun 30, 2024 | 151.50 Mn |
| Mar 31, 2024 | 154.90 Mn |
| Dec 31, 2023 | 155.60 Mn |
| Sep 30, 2023 | 155.30 Mn |
| Jun 30, 2023 | 155.00 Mn |
| Mar 31, 2023 | 162.00 Mn |
| Dec 31, 2022 | 161.30 Mn |
| Sep 30, 2022 | 160.50 Mn |
| Jun 30, 2022 | 164.60 Mn |
| Mar 31, 2022 | 167.70 Mn |
| Dec 31, 2021 | 159.20 Mn |
| Sep 30, 2021 | 153.20 Mn |
API Access
Ecolab Land & Improvements 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=land-and-improvements&ticker=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();