Big Sky Industrial (BSIN) Depreciation and Depletion (2012 - 2023)
Big Sky Industrial's Depreciation and Depletion came in at $40,000 for Q3 2023, down 38.5% from $65,000 a year earlier and unchanged from the prior quarter.
Big Sky Industrial (BSIN) Depreciation and Depletion (2012 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Big Sky Industrial reported Depreciation and Depletion of $200,000, up 22.0% year-over-year; for FY2022, it was $205,000, up 127.8% from FY2021.
- Depreciation and Depletion carries a five-year compound annual growth rate of -25.4% (FY2017 to FY2022).
- Going back by year, Depreciation and Depletion was $90,000 in FY2021 (+69.8%), $53,000 in FY2020 (-93.6%), $828,000 in FY2019 (+57.4%) and $526,000 in FY2018 (-40.9%).
- The five-year range for quarterly Depreciation and Depletion is -$213,000 (Q3 2020) to $225,000 (Q3 2019).
- Year-over-year, Depreciation and Depletion increased in five of the last seven quarters, with growth averaging 80.4%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2019 (growth of 190.2%), and the weakest in Q1 2021 (a decline of 85.9%).
- Business Quant data shows BSIN's Depreciation and Depletion at $40,000 (Q2 2023), $55,000 (Q1 2023) and $65,000 (Q4 2022) in the three quarters before Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | - |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | - |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | - |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | - |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | - |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | - |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | - |
| 10 | Big Sky Industrial | 74.53 Mn | 55.51 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 40,000.00 |
| Jun 30, 2023 | 40,000.00 |
| Mar 31, 2023 | 55,000.00 |
| Dec 31, 2022 | 65,000.00 |
| Sep 30, 2022 | 65,000.00 |
| Jun 30, 2022 | 51,000.00 |
| Mar 31, 2022 | 24,000.00 |
| Dec 31, 2021 | 24,000.00 |
| Sep 30, 2021 | 24,000.00 |
| Jun 30, 2021 | 22,000.00 |
| Mar 31, 2021 | 20,000.00 |
| Dec 31, 2020 | -5,000.00 |
| Sep 30, 2020 | -213,000.00 |
| Jun 30, 2020 | 129,000.00 |
| Mar 31, 2020 | 142,000.00 |
| Dec 31, 2019 | 177,000.00 |
| Sep 30, 2019 | 225,000.00 |
| Jun 30, 2019 | 224,000.00 |
| Mar 31, 2019 | 202,000.00 |
| Dec 31, 2018 | 61,000.00 |
Big Sky Industrial Depreciation and Depletion 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=depreciation-and-depletion&ticker=BSIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();