Ecolab (ECL) Accumulated Expenses (2009 - 2026)
Ecolab's Accumulated Expenses was $160.8 million in Q1 2026, up 2.9% from $156.2 million a year earlier but down 3.9% 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 $167.3 million, up 24.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $134.2 million in FY2024 (+14.3%), $117.4 million in FY2023 (-26.3%), $159.3 million in FY2022 (+83.5%) and $86.8 million in FY2021 (-42.1%).
- Quarterly Accumulated Expenses has moved between $72.6 million (Q3 2022) and $167.3 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 14.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2022 (growth of 83.5%); the worst was Q4 2021 (a decline of 42.1%).
- Per Business Quant data, ECL's Accumulated Expenses in the three quarters before Q1 2026 was $167.3 million (Q4 2025), $132.1 million (Q3 2025) and $162.9 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 85.42 Bn | 78.42 Bn | 2.07 Bn |
| 2 | Veralto | 28.77 Bn | 21.40 Bn | 908.00 Mn |
| 3 | Xylem | 21.57 Bn | 17.54 Bn | 907.00 Mn |
| 4 | Badger Meter | 4.38 Bn | 3.79 Bn | 98.85 Mn |
| 5 | Ceco Environmental | 3.28 Bn | 3.08 Bn | 130.10 Mn |
| 6 | NWPX Infrastructure | 879.18 Mn | 837.26 Mn | 38.19 Mn |
| 7 | Energy Recovery | 363.35 Mn | 25.80 Mn | 4.20 Mn |
| 8 | Cadiz | 274.33 Mn | 239.44 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 147.49 Mn | 27.12 Mn | - |
| 10 | LanzaTech Global | 51.44 Mn | -46.19 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.30 Mn |
| Jun 30, 2026 | 92.00 Mn |
| Mar 31, 2026 | 160.80 Mn |
| Dec 31, 2025 | 167.30 Mn |
| Sep 30, 2025 | 132.10 Mn |
| Jun 30, 2025 | 162.90 Mn |
| Mar 31, 2025 | 156.20 Mn |
| Dec 31, 2024 | 134.20 Mn |
| Sep 30, 2024 | 92.30 Mn |
| Jun 30, 2024 | 109.90 Mn |
| Mar 31, 2024 | 113.40 Mn |
| Dec 31, 2023 | 117.40 Mn |
| Sep 30, 2023 | 127.80 Mn |
| Jun 30, 2023 | 149.00 Mn |
| Mar 31, 2023 | 150.80 Mn |
| Dec 31, 2022 | 159.30 Mn |
| Sep 30, 2022 | 72.60 Mn |
| Jun 30, 2022 | 87.60 Mn |
| Mar 31, 2022 | 91.90 Mn |
| Dec 31, 2021 | 86.80 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();