Big Sky Industrial (BSIN) Accumulated Expenses (2020 - 2026)
Big Sky Industrial (BSIN) recorded Accumulated Expenses of $50,000 in Q1 2026, up 92.3% from the prior quarter.
Analysis
Big Sky Industrial (BSIN) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Big Sky Industrial reported Accumulated Expenses of $26,000, down 84.9% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -23.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $172,000 in FY2024 (-30.4%) and $247,000 in FY2023.
- The Q1 2026 figure is the highest quarterly Accumulated Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Big Sky Industrial | 61.06 Mn | 40.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 50,000.00 |
| Dec 31, 2025 | 26,000.00 |
| Dec 31, 2024 | 172,000.00 |
| Sep 30, 2024 | 79,000.00 |
| Jun 30, 2024 | 115,000.00 |
| Mar 31, 2024 | 112,000.00 |
| Dec 31, 2023 | 247,000.00 |
| Sep 30, 2021 | 10,000.00 |
| Jun 30, 2021 | 10,000.00 |
| Mar 31, 2021 | 10,000.00 |
| Dec 31, 2020 | 100,000.00 |
| Sep 30, 2020 | 100,000.00 |
API Access
Big Sky Industrial 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=BSIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BSIN", "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=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();