Ecolab (ECL) Total Current Liabilities (2009 - 2026)
Ecolab's Total Current Liabilities was $5.99 billion in Q2 2026, up 22.0% from $4.91 billion a year earlier but down 1.8% from the prior quarter.
Ecolab (ECL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Ecolab came in at $5.53 billion, up 15.5% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $4.79 billion in FY2024 (+10.3%), $4.35 billion in FY2023 (+3.2%), $4.21 billion in FY2022 (+18.5%) and $3.55 billion in FY2021 (+21.2%).
- Quarterly Total Current Liabilities has moved between $2.89 billion (Q3 2021) and $6.1 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 15.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2026 (growth of 32.3%); the worst was Q1 2024 (a decline of 17.6%).
- Per Business Quant data, ECL's Total Current Liabilities in the three quarters before Q2 2026 was $6.1 billion (Q1 2026), $5.53 billion (Q4 2025) and $4.19 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 5.99 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 2.72 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 2.06 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 171.87 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 652.29 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 117.39 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 18.56 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 9.86 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 2.19 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 27.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.99 Bn |
| Mar 31, 2026 | 6.10 Bn |
| Dec 31, 2025 | 5.53 Bn |
| Sep 30, 2025 | 4.19 Bn |
| Jun 30, 2025 | 4.91 Bn |
| Mar 31, 2025 | 4.61 Bn |
| Dec 31, 2024 | 4.79 Bn |
| Sep 30, 2024 | 4.71 Bn |
| Jun 30, 2024 | 3.85 Bn |
| Mar 31, 2024 | 3.70 Bn |
| Dec 31, 2023 | 4.35 Bn |
| Sep 30, 2023 | 4.60 Bn |
| Jun 30, 2023 | 4.47 Bn |
| Mar 31, 2023 | 4.49 Bn |
| Dec 31, 2022 | 4.21 Bn |
| Sep 30, 2022 | 3.77 Bn |
| Jun 30, 2022 | 3.81 Bn |
| Mar 31, 2022 | 3.63 Bn |
| Dec 31, 2021 | 3.55 Bn |
| Sep 30, 2021 | 2.89 Bn |
Ecolab Total 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-current-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();