Big Sky Industrial (BSIN) EV to EBITDA (2010 - 2023)
Big Sky Industrial's (BSIN) EV to EBITDA came in at 5.83 for Q2 2023, down 50.5% from 11.76 a year earlier but up 53.2% from the prior quarter.
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Analysis
Big Sky Industrial (BSIN) EV to EBITDA (2010 - 2023) Analysis & Trends
For the trailing twelve months through Jun 30, 2023, EV to EBITDA at Big Sky Industrial was 4.09, down 58.5% year-over-year; for FY2022, it was 4.02.
- In prior years, Big Sky Industrial's EV to EBITDA was 446.26 in FY2019.
- Quarterly EV to EBITDA has run from a low of 3.80 in Q1 2023 to a high of 446.26 in Q4 2019 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 3.80 (Q1 2023), 4.02 (Q4 2022) and 7.19 (Q3 2022).
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 |
|---|---|
| Jun 30, 2023 | 5.83 |
| Mar 31, 2023 | 3.80 |
| Dec 31, 2022 | 4.02 |
| Sep 30, 2022 | 7.19 |
| Jun 30, 2022 | 11.76 |
| Mar 31, 2022 | 52.38 |
| Dec 31, 2019 | 446.26 |
| Sep 30, 2019 | 149.51 |
| Jun 30, 2019 | 135.07 |
| Mar 31, 2018 | 804.07 |
| Sep 30, 2017 | 39.91 |
| Jun 30, 2017 | 39.30 |
| Dec 31, 2014 | 199.44 |
| Sep 30, 2014 | 317.47 |
| Jun 30, 2014 | 439.60 |
| Mar 31, 2014 | 511.77 |
| Dec 31, 2013 | 701.78 |
| Sep 30, 2013 | 1,381.91 |
| Dec 31, 2012 | 473.94 |
| Sep 30, 2012 | 325.79 |
API Access
Big Sky Industrial EV to EBITDA 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=ev-to-ebitda&ticker=BSIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();