Ecolab (ECL) Total Non-Current Liabilities (2009 - 2026)
Ecolab (ECL) posted Total Non-Current Liabilities of $19.38 billion for Q2 2026, up 40.1% from $13.83 billion a year earlier and up 33.1% from the prior quarter.
Ecolab (ECL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ecolab's Total Non-Current Liabilities came in at $14.37 billion, up 8.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Ecolab's Total Non-Current Liabilities was $13.23 billion in FY2024 (-1.2%), $13.39 billion in FY2023 (-2.9%), $13.8 billion in FY2022 (+0.7%) and $13.7 billion in FY2021 (+18.0%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 40.1%; the weakest was Q3 2021, with a decline of 9.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $14.56 billion (Q1 2026), $14.37 billion (Q4 2025) and $13.62 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 19.38 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 6.11 Bn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 4.74 Bn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 143.42 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 222.57 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 24.14 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 100.65 Mn |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | 4.27 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | 260.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.38 Bn |
| Mar 31, 2026 | 14.56 Bn |
| Dec 31, 2025 | 14.37 Bn |
| Sep 30, 2025 | 13.62 Bn |
| Jun 30, 2025 | 13.83 Bn |
| Mar 31, 2025 | 13.05 Bn |
| Dec 31, 2024 | 13.23 Bn |
| Sep 30, 2024 | 13.12 Bn |
| Jun 30, 2024 | 12.74 Bn |
| Mar 31, 2024 | 12.66 Bn |
| Dec 31, 2023 | 13.39 Bn |
| Sep 30, 2023 | 13.58 Bn |
| Jun 30, 2023 | 13.44 Bn |
| Mar 31, 2023 | 13.50 Bn |
| Dec 31, 2022 | 13.80 Bn |
| Sep 30, 2022 | 13.57 Bn |
| Jun 30, 2022 | 13.73 Bn |
| Mar 31, 2022 | 13.67 Bn |
| Dec 31, 2021 | 13.70 Bn |
| Sep 30, 2021 | 10.68 Bn |
Ecolab Total Non-Current 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-non-current-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();