Hudson Technologies (HDSN) Accumulated Expenses (2009 - 2026)
Hudson Technologies (HDSN) posted Accumulated Expenses of $41.43 million for Q3 2026, down 1.8% from $42.2 million a year earlier but up 0.7% from the prior quarter.
Hudson Technologies (HDSN) Accumulated Expenses (2009 - 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 $27.91 million in Q4 2022 to a high of $42.2 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 14.3%.
- 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 $41.14 million (Q2 2026), $39.81 million (Q1 2026) and $38.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn |
| 10 | Hudson Technologies | 185.19 Mn | 65.51 Mn | 14.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.43 Mn |
| 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 |
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();