Hudson Technologies (HDSN) Operating Expenses (2010 - 2026)
Hudson Technologies (HDSN) recorded Operating Expenses of $13.29 million in Q2 2026, up 31.8% from $10.09 million a year earlier and up 28.0% from the prior quarter.
Hudson Technologies (HDSN) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Hudson Technologies' Operating Expenses came in at $48.13 million as of Jun 30, 2026, up 29.8% year-over-year; for FY2025, it came in at $43.54 million, up 19.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $36.41 million in FY2024 (+9.2%), $33.34 million in FY2023 (+6.2%), $31.38 million in FY2022 (+6.9%) and $29.36 million in FY2021 (-0.5%).
- Quarterly Operating Expenses has ranged from $6.77 million in Q3 2021 to $14.75 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 18.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 63.5% in Q4 2025, against a decline of 5.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.38 million (Q1 2026), $14.75 million (Q4 2025) and $9.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Hudson Technologies | 216.76 Mn | 42.65 Mn | 20.69 Mn | 13.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.29 Mn |
| Mar 31, 2026 | 10.38 Mn |
| Dec 31, 2025 | 14.75 Mn |
| Sep 30, 2025 | 9.71 Mn |
| Jun 30, 2025 | 10.09 Mn |
| Mar 31, 2025 | 8.99 Mn |
| Dec 31, 2024 | 9.02 Mn |
| Sep 30, 2024 | 8.97 Mn |
| Jun 30, 2024 | 9.77 Mn |
| Mar 31, 2024 | 8.65 Mn |
| Dec 31, 2023 | 9.23 Mn |
| Sep 30, 2023 | 7.46 Mn |
| Jun 30, 2023 | 8.97 Mn |
| Mar 31, 2023 | 7.68 Mn |
| Dec 31, 2022 | 8.23 Mn |
| Sep 30, 2022 | 7.92 Mn |
| Jun 30, 2022 | 7.71 Mn |
| Mar 31, 2022 | 7.52 Mn |
| Dec 31, 2021 | 7.68 Mn |
| Sep 30, 2021 | 6.77 Mn |
Hudson Technologies 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=HDSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HDSN", "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=HDSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();