Helus Pharma (HELP) Operating Expenses (2020 - 2026)
Cybin (HELP) posted Operating Expenses of $49.08 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 99.3% from $24.62 million a year earlier and up 2.6% from the prior quarter.
Helus Pharma (HELP) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cybin was $167.05 million, up 48.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $142.59 million, up 38.3% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 43.7% (FY2021 to FY2026).
- In prior fiscal years, Cybin's Operating Expenses was $103.13 million in FY2025 (+76.3%), $58.48 million in FY2024, $18.85 million in FY2023 and $63.84 million in FY2022 (+174.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 84.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 607.1%; the weakest was fiscal Q2 2026, with a decline of 32.3%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $47.86 million (Q4 2026), $41.21 million (Q3 2026) and $28.89 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 205.94 Bn | -2,096.36 Bn | 24.75 Bn | 14.22 Bn |
| 2 | Bhp | 200.75 Bn | 143.92 Bn | - | - |
| 3 | Bank Of Nova Scotia | 116.03 Bn | -316.42 Bn | - | 3.98 Bn |
| 4 | Nokia | 46.79 Bn | 46.79 Bn | 2.58 Bn | 2.56 Bn |
| 5 | Haleon | 45.81 Bn | 39.44 Bn | - | - |
| 6 | Gold Fields | 31.49 Bn | 28.17 Bn | - | - |
| 7 | Smith & Nephew | 26.43 Bn | 23.82 Bn | - | 1.56 Bn |
| 8 | Sprott Physical Gold Trust | 13.86 Bn | 13.73 Bn | - | 30.00 |
| 9 | Magnum Ice Cream | 11.89 Bn | 10.53 Bn | - | - |
| 10 | Helus Pharma | 359.17 Mn | -243.34 Mn | - | 49.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.08 Mn |
| Mar 31, 2026 | 47.86 Mn |
| Dec 31, 2025 | 41.21 Mn |
| Sep 30, 2025 | 28.89 Mn |
| Jun 30, 2025 | 24.62 Mn |
| Mar 31, 2025 | 23.19 Mn |
| Dec 31, 2024 | 22.39 Mn |
| Sep 30, 2024 | 42.71 Mn |
| Jun 30, 2024 | 14.85 Mn |
| Mar 31, 2024 | 18.70 Mn |
| Dec 31, 2023 | 19.85 Mn |
| Sep 30, 2023 | 10.38 Mn |
| Jun 30, 2023 | 9.46 Mn |
| Mar 31, 2023 | 10.14 Mn |
| Dec 31, 2022 | 8.91 Mn |
| Sep 30, 2022 | 9.45 Mn |
| Jun 30, 2022 | 10.51 Mn |
| Mar 31, 2022 | 12.90 Mn |
| Dec 31, 2021 | 13.05 Mn |
| Sep 30, 2021 | 13.59 Mn |
Helus Pharma 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=HELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HELP", "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=HELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();