Murphy USA (MUSA) Change in Acquisitions & Divestments (2023 - 2024)
Murphy USA's (MUSA) quarterly Change in Acquisitions & Divestments came in at $1.5 million in Q4 2024, down 75.0% year-over-year from $6.0 million in Q1 2024, and down 75.0% quarter-over-quarter from $6.0 million in Q3 2024.
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Analysis
Murphy USA (MUSA) Change in Acquisitions & Divestments (2023 - 2024) Analysis & Trends
Murphy USA has disclosed Change in Acquisitions & Divestments across 2 years of filings, most recently posting $1.5 million for Q4 2024.
- In Q4 2024, Change in Acquisitions & Divestments fell 75.0% year-over-year to $1.5 million; the TTM figure through Sep 2025 stood at $1.5 million (down 90.62% YoY), while the FY2024 annual figure was $11.5 million, down 52.08% from the prior year.
- Change in Acquisitions & Divestments came in at $1.5 million for Q4 2024 at Murphy USA, down from $6.0 million in the prior quarter.
- In the past five years, Change in Acquisitions & Divestments ranged from a high of $7.5 million in Q3 2023 to a low of $1.0 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caseys General Stores | 22.08 Bn | 21.56 Bn | 1.24 Bn |
| 2 | Murphy USA | 9.67 Bn | 9.49 Bn | 746.50 Mn |
| 3 | Arko | 473.42 Mn | 281.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 4.50 Mn |
API Access
Murphy USA Change in Acquisitions & Divestments 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-acquisitions-and-divestments&ticker=MUSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "ticker": "MUSA", "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-acquisitions-and-divestments&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();