Hudson Technologies (HDSN) Accumulated Expenses (2014 - 2026)
Hudson Technologies (HDSN) posted Accumulated Expenses of $41.14 million for Q2 2026, up 8.4% from $37.94 million a year earlier and up 3.4% from the prior quarter.
Hudson Technologies (HDSN) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Hudson Technologies' Accumulated Expenses came in at $38.77 million, up 14.7% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 48.7% (FY2020 to FY2025).
- In prior years, Hudson Technologies' Accumulated Expenses was $33.81 million in FY2024 (+7.2%), $31.54 million in FY2023 (+13.0%), $27.91 million in FY2022 (-8.9%) and $30.64 million in FY2021 (+474.9%).
- Quarterly Accumulated Expenses has run from a low of $16.3 million in Q3 2021 to a high of $42.2 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 474.9%; the weakest was Q2 2023, with a decline of 21.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $39.81 million (Q1 2026), $38.77 million (Q4 2025) and $42.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn |
| 10 | Hudson Technologies | 220.96 Mn | 46.86 Mn | 20.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.14 Mn |
| Mar 31, 2026 | 39.81 Mn |
| Dec 31, 2025 | 38.77 Mn |
| Sep 30, 2025 | 42.20 Mn |
| Jun 30, 2025 | 37.94 Mn |
| Mar 31, 2025 | 36.39 Mn |
| Dec 31, 2024 | 33.81 Mn |
| Sep 30, 2024 | 31.60 Mn |
| Jun 30, 2024 | 29.92 Mn |
| Mar 31, 2024 | 31.43 Mn |
| Dec 31, 2023 | 31.54 Mn |
| Sep 30, 2023 | 30.26 Mn |
| Jun 30, 2023 | 28.33 Mn |
| Mar 31, 2023 | 32.72 Mn |
| Dec 31, 2022 | 27.91 Mn |
| Sep 30, 2022 | 36.06 Mn |
| Jun 30, 2022 | 35.98 Mn |
| Mar 31, 2022 | 31.86 Mn |
| Dec 31, 2021 | 30.64 Mn |
| Sep 30, 2021 | 16.30 Mn |
Hudson Technologies 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=HDSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HDSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();