Ecolab (ECL) Accumulated Expenses (2009 - 2026)
Ecolab's Accumulated Expenses was $100.6 million in Q1 2026, up 7.7% from $93.4 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Ecolab (ECL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ecolab came in at $102.5 million, up 43.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $71.6 million in FY2024 (+46.4%), $48.9 million in FY2023 (-51.4%), $100.6 million in FY2022 (+157.3%) and $39.1 million in FY2021 (-60.1%).
- Quarterly Accumulated Expenses has moved between $18.6 million (Q3 2022) and $102.5 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 40.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2023 (growth of 272.6%); the worst was Q1 2022 (a decline of 66.1%).
- Per Business Quant data, ECL's Accumulated Expenses in the three quarters before Q1 2026 was $102.5 million (Q4 2025), $71.2 million (Q3 2025) and $89 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn |
| 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 |
|---|---|
| Mar 31, 2026 | 100.60 Mn |
| Dec 31, 2025 | 102.50 Mn |
| Sep 30, 2025 | 71.20 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | 93.40 Mn |
| Dec 31, 2024 | 71.60 Mn |
| Sep 30, 2024 | 36.30 Mn |
| Jun 30, 2024 | 38.50 Mn |
| Mar 31, 2024 | 48.80 Mn |
| Dec 31, 2023 | 48.90 Mn |
| Sep 30, 2023 | 69.30 Mn |
| Jun 30, 2023 | 73.70 Mn |
| Mar 31, 2023 | 82.10 Mn |
| Dec 31, 2022 | 100.60 Mn |
| Sep 30, 2022 | 18.60 Mn |
| Jun 30, 2022 | 24.40 Mn |
| Mar 31, 2022 | 29.30 Mn |
| Dec 31, 2021 | 39.10 Mn |
| Sep 30, 2021 | 48.90 Mn |
| Jun 30, 2021 | 71.40 Mn |
API Access
Ecolab Accumulated Expenses 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=accumulated-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();