Gulf Resources (GURE) Operating Expenses (2010 - 2026)
Gulf Resources (GURE) recorded Operating Expenses of $6.43 million in Q1 2026, up 3.4% from $6.21 million a year earlier but down 30.9% from the prior quarter.
Gulf Resources (GURE) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Gulf Resources' Operating Expenses came in at $34.2 million as of Mar 31, 2026, up 15.7% year-over-year; for FY2025, it was $33.99 million, up 13.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $29.91 million in FY2024 (-28.7%), $41.93 million in FY2023 (-15.5%), $49.61 million in FY2022 (-0.4%) and $49.82 million in FY2021 (+31.5%).
- Quarterly Operating Expenses has ranged from $6.21 million in Q1 2025 to $19.09 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 62.8% in Q2 2021, against a decline of 39.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.3 million (Q4 2025), $9.38 million (Q3 2025) and $9.09 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Gulf Resources | 5.32 Mn | -14.78 Mn | - | 6.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.43 Mn |
| Dec 31, 2025 | 9.30 Mn |
| Sep 30, 2025 | 9.38 Mn |
| Jun 30, 2025 | 9.09 Mn |
| Mar 31, 2025 | 6.21 Mn |
| Dec 31, 2024 | 8.98 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 7.53 Mn |
| Mar 31, 2024 | 6.58 Mn |
| Dec 31, 2023 | 14.75 Mn |
| Sep 30, 2023 | 8.16 Mn |
| Jun 30, 2023 | 8.92 Mn |
| Mar 31, 2023 | 10.10 Mn |
| Dec 31, 2022 | 19.09 Mn |
| Sep 30, 2022 | 10.92 Mn |
| Jun 30, 2022 | 10.60 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 17.09 Mn |
| Sep 30, 2021 | 10.66 Mn |
| Jun 30, 2021 | 13.53 Mn |
Gulf Resources 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=GURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GURE", "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=GURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();