Helus Pharma (HELP) Change in Accrued Expenses (2020 - 2026)
Cybin (HELP) posted Change in Accured Expenses of -$1.81 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$347,000 a year earlier.
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Analysis
Helus Pharma (HELP) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Cybin was $3.02 million, down 74.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $4.48 million, down 41.6% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 26.9% (FY2021 to FY2026).
- In prior fiscal years, Cybin's Change in Accured Expenses was $7.66 million in FY2025, -$1.89 million in FY2024 and $1.97 million in FY2022 (+44.9%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Change in Accured Expenses since fiscal Q1 2025.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 64.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2025, with growth of 356.4%; the weakest was fiscal Q1 2024, with a decline of 52.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $3.2 million (Q4 2026), $2.82 million (Q3 2026) and -$1.19 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 202.53 Bn | -2,124.70 Bn | 24.75 Bn | - |
| 2 | Bhp | 200.02 Bn | 143.20 Bn | - | - |
| 3 | Bank Of Nova Scotia | 114.47 Bn | -317.97 Bn | - | - |
| 4 | Haleon | 40.96 Bn | 34.59 Bn | - | - |
| 5 | Nokia | 40.75 Bn | 40.75 Bn | 2.58 Bn | - |
| 6 | Gold Fields | 33.88 Bn | 30.56 Bn | - | - |
| 7 | Smith & Nephew | 27.67 Bn | 25.06 Bn | - | - |
| 8 | Sprott Physical Gold Trust | 14.17 Bn | 14.03 Bn | - | - |
| 9 | Magnum Ice Cream | 12.29 Bn | 10.93 Bn | - | - |
| 10 | Helus Pharma | 292.34 Mn | -310.16 Mn | - | -1.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.81 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | -1.19 Mn |
| Jun 30, 2025 | -347,000.00 |
| Mar 31, 2025 | 5.65 Mn |
| Dec 31, 2024 | 4.34 Mn |
| Sep 30, 2024 | 1.93 Mn |
| Jun 30, 2024 | -3.80 Mn |
| Mar 31, 2024 | 1.24 Mn |
| Dec 31, 2023 | -5.72 Mn |
| Sep 30, 2023 | 2.42 Mn |
| Jun 30, 2023 | 250,136.03 |
| Mar 31, 2023 | 957,167.10 |
| Dec 31, 2022 | -377,928.61 |
| Sep 30, 2022 | -809,684.04 |
| Jun 30, 2022 | 530,214.28 |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 330,027.81 |
| Sep 30, 2021 | -336,035.14 |
API Access
Helus Pharma Change in Accrued 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=change-in-accured-expenses&ticker=HELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();