Ecolab (ECL) EBITDA (2009 - 2026)
Ecolab's EBITDA was $1.03 billion in Q2 2026, up 7.9% from $951.8 million a year earlier and up 16.0% from the prior quarter.
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Analysis
Ecolab (ECL) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ecolab's EBITDA was $3.88 billion through Jun 30, 2026, up 1.2% year-over-year; for FY2025, it came in at $3.71 billion, down 0.6% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $3.74 billion in FY2024 (+28.2%), $2.92 billion in FY2023 (+16.6%), $2.5 billion in FY2022 (+2.5%) and $2.44 billion in FY2021 (+10.6%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q3 2024.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 11.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2024 (growth of 60.3%); the worst was Q3 2025 (a decline of 21.4%).
- Per Business Quant data, ECL's EBITDA in the three quarters before Q2 2026 was $885.1 million (Q1 2026), $968.5 million (Q4 2025) and $1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.03 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 530.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 344.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 49.23 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | -21.16 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 26.77 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | -4.88 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | -4.11 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | -8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 885.10 Mn |
| Dec 31, 2025 | 968.50 Mn |
| Sep 30, 2025 | 1.00 Bn |
| Jun 30, 2025 | 951.80 Mn |
| Mar 31, 2025 | 791.40 Mn |
| Dec 31, 2024 | 818.40 Mn |
| Sep 30, 2024 | 1.27 Bn |
| Jun 30, 2024 | 891.90 Mn |
| Mar 31, 2024 | 752.70 Mn |
| Dec 31, 2023 | 820.80 Mn |
| Sep 30, 2023 | 795.40 Mn |
| Jun 30, 2023 | 714.10 Mn |
| Mar 31, 2023 | 585.90 Mn |
| Dec 31, 2022 | 636.20 Mn |
| Sep 30, 2022 | 715.80 Mn |
| Jun 30, 2022 | 660.50 Mn |
| Mar 31, 2022 | 489.20 Mn |
| Dec 31, 2021 | 603.30 Mn |
| Sep 30, 2021 | 672.70 Mn |
API Access
Ecolab EBITDA 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=ebitda&ticker=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();