Skye Bioscience (SKYE) Change in Accured Expenses (2012 - 2026)
Skye Bioscience (SKYE) posted Change in Accured Expenses of $456,174 for Q2 2026, up 115.3% from $211,893 a year earlier.
Skye Bioscience (SKYE) Change in Accured Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Skye Bioscience was -$177,458; for FY2025, it came in at $155,219, down 31.3% from FY2024.
- Annual Change in Accured Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- In prior years, Skye Bioscience's Change in Accured Expenses was $225,874 in FY2024 (-2.1%), $230,647 in FY2023 (-26.4%), $313,284 in FY2022 (+10.7%) and $282,903 in FY2021 (+541.7%).
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q4 2012.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 17.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2022, with growth of 123.7%; the weakest was Q3 2025, with a decline of 84.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.04 million (Q1 2026), $348,700 (Q4 2025) and $52,750 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Skye Bioscience | 7.38 Mn | 7.38 Mn | - | 456,174.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 456,174.00 |
| Mar 31, 2026 | -1.04 Mn |
| Dec 31, 2025 | 348,700.00 |
| Sep 30, 2025 | 52,750.00 |
| Jun 30, 2025 | 211,893.00 |
| Mar 31, 2025 | -458,124.00 |
| Dec 31, 2024 | 210,985.00 |
| Sep 30, 2024 | 346,697.00 |
| Jun 30, 2024 | 203,111.00 |
| Mar 31, 2024 | -534,919.00 |
| Dec 31, 2023 | 242,551.00 |
| Sep 30, 2023 | -268,099.00 |
| Jun 30, 2023 | 121,428.00 |
| Mar 31, 2023 | 134,767.00 |
| Dec 31, 2022 | 182,461.00 |
| Sep 30, 2022 | 44,087.00 |
| Jun 30, 2022 | 194,149.00 |
| Mar 31, 2022 | -107,413.00 |
| Dec 31, 2021 | 81,569.00 |
| Sep 30, 2021 | 150,374.00 |
Skye Bioscience Change in Accured 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=SKYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SKYE", "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=SKYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();