Quest Water Global (QWTR) Operating Expenses (2010 - 2025)
Quest Water Global (QWTR) posted Operating Expenses of $291,413 for Q3 2025, up 112.2% from $137,329 a year earlier and up 47.0% from the prior quarter.
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Analysis
Quest Water Global (QWTR) Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Quest Water Global was $778,464, up 0.8% year-over-year; for FY2024, it came in at $757,611, up 27.1% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.4% (FY2019 to FY2024).
- In prior years, Quest Water Global's Operating Expenses was $596,013 in FY2023 (-50.0%), $1.19 million in FY2022 (+127.2%), $524,586 in FY2021 (+14.2%) and $459,270 in FY2020 (-17.2%).
- The Q3 2025 figure stands as the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with growth averaging 30.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 616.9%; the weakest was Q3 2023, with a decline of 85.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $198,189 (Q2 2025), $141,305 (Q1 2025) and $147,557 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | 587.00 Mn |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 573.00 Mn |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | 5.04 Mn |
| 10 | Quest Water Global | 6.60 Mn | 6.60 Mn | - | 291,413.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 291,413.00 |
| Jun 30, 2025 | 198,189.00 |
| Mar 31, 2025 | 141,305.00 |
| Dec 31, 2024 | 147,557.00 |
| Sep 30, 2024 | 137,329.00 |
| Jun 30, 2024 | 140,415.00 |
| Mar 31, 2024 | 332,310.00 |
| Dec 31, 2023 | 162,074.00 |
| Sep 30, 2023 | 140,498.00 |
| Jun 30, 2023 | 151,030.00 |
| Mar 31, 2023 | 142,411.00 |
| Dec 31, 2022 | -34,946.00 |
| Sep 30, 2022 | 939,297.00 |
| Jun 30, 2022 | 142,721.00 |
| Mar 31, 2022 | 144,635.00 |
| Dec 31, 2021 | 156,372.00 |
| Sep 30, 2021 | 131,031.00 |
| Jun 30, 2021 | 117,354.00 |
| Mar 31, 2021 | 119,829.00 |
| Dec 31, 2020 | 112,780.00 |
API Access
Quest Water Global Operating 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=operating-expenses&ticker=QWTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QWTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=QWTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();