Helus Pharma (HELP) Total Liabilities (2021 - 2026)
Cybin (HELP) posted Total Liabilities of $17.57 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 70.3% from $59.05 million a year earlier and down 9.3% from the prior quarter.
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Analysis
Helus Pharma (HELP) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cybin's Total Liabilities came in at $19.38 million, up 25.8% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 33.7% (FY2021 to FY2026).
- In prior fiscal years, Cybin's Total Liabilities was $15.41 million in FY2025 (+105.7%), $7.49 million in FY2024 and $6.31 million in FY2022 (+39.0%).
- Quarterly Total Liabilities has run from a low of $3.22 million in fiscal Q3 2023 to a high of $59.05 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last seven quarters, with growth averaging 120.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 681.7%; the weakest was fiscal Q1 2027, with a decline of 70.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $19.38 million (Q4 2026), $16.18 million (Q3 2026) and $42.25 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bhp | 200.99 Bn | 144.17 Bn | - | 65.07 Bn |
| 2 | Bank Of Nova Scotia | 115.36 Bn | -316.04 Bn | - | 1,041.39 Bn |
| 3 | Nokia | 49.56 Bn | 49.56 Bn | 2.58 Bn | - |
| 4 | Haleon | 45.66 Bn | 39.36 Bn | - | 21.39 Bn |
| 5 | Gold Fields | 31.50 Bn | 28.42 Bn | - | 6.79 Bn |
| 6 | Smith & Nephew | 26.74 Bn | 24.14 Bn | - | 5.83 Bn |
| 7 | Sprott Physical Gold Trust | 14.42 Bn | 14.28 Bn | - | 146,000.00 |
| 8 | Magnum Ice Cream | 11.88 Bn | 10.57 Bn | - | 9.92 Bn |
| 9 | Sprott Physical Silver Trust | 10.62 Bn | 10.29 Bn | - | 4.91 Mn |
| 10 | Helus Pharma | 534.91 Mn | -67.60 Mn | - | 17.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.57 Mn |
| Mar 31, 2026 | 19.38 Mn |
| Dec 31, 2025 | 16.18 Mn |
| Sep 30, 2025 | 42.25 Mn |
| Jun 30, 2025 | 59.05 Mn |
| Mar 31, 2025 | 14.97 Mn |
| Dec 31, 2024 | 9.27 Mn |
| Sep 30, 2024 | 5.46 Mn |
| Jun 30, 2024 | 3.51 Mn |
| Mar 31, 2024 | 7.46 Mn |
| Dec 31, 2023 | 6.43 Mn |
| Sep 30, 2023 | 6.85 Mn |
| Jun 30, 2023 | 6.97 Mn |
| Mar 31, 2023 | 4.19 Mn |
| Dec 31, 2022 | 3.22 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 4.97 Mn |
| Mar 31, 2022 | 6.34 Mn |
| Dec 31, 2021 | 4.76 Mn |
| Sep 30, 2021 | 4.76 Mn |
API Access
Helus Pharma Total Liabilities 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=total-liabilities&ticker=HELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();