Big Sky Industrial (BSIN) Change in Accrued Expenses (2015 - 2026)
Big Sky Industrial (BSIN) recorded Change in Accrued Expenses of $408,000 in Q3 2026, down 67.2% from $1.24 million a year earlier.
Big Sky Industrial (BSIN) Change in Accrued Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Big Sky Industrial's Change in Accrued Expenses came in at $1.11 million as of Sep 30, 2026; for FY2025, it came in at -$1.99 million.
- Across earlier years, Change in Accrued Expenses came in at $1.21 million in FY2024, -$410,000 in FY2023, $1.41 million in FY2022 (+66.4%) and $850,000 in FY2021 (+84.4%).
- Quarterly Change in Accrued Expenses has ranged from -$4.04 million in Q4 2022 to $2.59 million in Q1 2022 over the past five years.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 342.3% in Q3 2025, against a decline of 82.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$92,000 (Q2 2026), $200,000 (Q1 2026) and $589,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | - | 408,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 408,000.00 |
| Jun 30, 2026 | -92,000.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 589,000.00 |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | -1.25 Mn |
| Mar 31, 2025 | -2.58 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 281,000.00 |
| Jun 30, 2024 | -74,000.00 |
| Mar 31, 2024 | -298,000.00 |
| Dec 31, 2023 | -116,000.00 |
| Sep 30, 2023 | 206,000.00 |
| Jun 30, 2023 | 294,000.00 |
| Mar 31, 2023 | -794,000.00 |
| Dec 31, 2022 | -4.04 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 1.72 Mn |
| Mar 31, 2022 | 2.59 Mn |
| Dec 31, 2021 | 1.07 Mn |
Big Sky Industrial 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=BSIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();