Ecolab (ECL) Total Liabilities (2009 - 2026)
Ecolab (ECL) reported Total Liabilities of $19.84 billion for Q2 2026, up 37.9% from $14.39 billion a year earlier and up 32.2% from the prior quarter.
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Analysis
Ecolab (ECL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ecolab posted Total Liabilities of $14.89 billion, up 9.5% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $13.6 billion in FY2024 (-1.3%), $13.77 billion in FY2023 (-3.0%), $14.21 billion in FY2022 (+1.8%) and $13.95 billion in FY2021 (+17.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year over year, Total Liabilities has now increased in each of the last six quarters, with growth averaging 8.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 37.9%); the low point was Q3 2021 (a decline of 9.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.01 billion (Q1 2026), $14.89 billion (Q4 2025) and $14.14 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 19.84 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 6.92 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 5.46 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 315.29 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 1.65 Bn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 233.30 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 25.26 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 130.10 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 58.20 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 62.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.84 Bn |
| Mar 31, 2026 | 15.01 Bn |
| Dec 31, 2025 | 14.89 Bn |
| Sep 30, 2025 | 14.14 Bn |
| Jun 30, 2025 | 14.39 Bn |
| Mar 31, 2025 | 13.46 Bn |
| Dec 31, 2024 | 13.60 Bn |
| Sep 30, 2024 | 13.53 Bn |
| Jun 30, 2024 | 13.15 Bn |
| Mar 31, 2024 | 13.07 Bn |
| Dec 31, 2023 | 13.77 Bn |
| Sep 30, 2023 | 14.04 Bn |
| Jun 30, 2023 | 13.88 Bn |
| Mar 31, 2023 | 13.89 Bn |
| Dec 31, 2022 | 14.21 Bn |
| Sep 30, 2022 | 13.95 Bn |
| Jun 30, 2022 | 14.05 Bn |
| Mar 31, 2022 | 13.96 Bn |
| Dec 31, 2021 | 13.95 Bn |
| Sep 30, 2021 | 10.96 Bn |
API Access
Ecolab Total Liabilities 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=total-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();