Granite Ridge Resources (GRNT) Accumulated Expenses (2021 - 2024)
Granite Ridge Resources' Accumulated Expenses was $62.34 million in Q2 2024, up 21.0% from $51.51 million a year earlier and up 0.5% from the prior quarter.
Granite Ridge Resources (GRNT) Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2023, Accumulated Expenses at Granite Ridge Resources came in at $60.88 million, down 2.1% from FY2022.
- In earlier years, Accumulated Expenses was $62.18 million in FY2022 (+502.5%) and $10.32 million in FY2021.
- The Q2 2024 figure marks the highest quarterly Accumulated Expenses since Q1 2023.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last five quarters, with growth averaging 142.3%.
- Per Business Quant data, GRNT's Accumulated Expenses in the three quarters before Q2 2024 was $62.03 million (Q1 2024), $60.88 million (Q4 2023) and $61.99 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 682.73 Bn | 640.87 Bn | - |
| 2 | Chevron | 412.78 Bn | 379.83 Bn | 31.26 Bn |
| 3 | Shell | 290.86 Bn | 151.13 Bn | - |
| 4 | TotalEnergies SE | 192.45 Bn | 63.53 Bn | 31,614.00 |
| 5 | Eni Spa | 168.57 Bn | 108.20 Bn | - |
| 6 | Conocophillips | 163.59 Bn | 136.29 Bn | 12.81 Bn |
| 7 | Equinor Asa | 106.61 Bn | 19.46 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 100.53 Bn | 94.43 Bn | 9.35 Bn |
| 9 | Phillips 66 | 100.43 Bn | 84.22 Bn | 10.69 Bn |
| 10 | Granite Ridge Resources | 735.25 Mn | 706.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 62.34 Mn |
| Mar 31, 2024 | 62.03 Mn |
| Dec 31, 2023 | 60.88 Mn |
| Sep 30, 2023 | 61.99 Mn |
| Jun 30, 2023 | 51.51 Mn |
| Mar 31, 2023 | 69.60 Mn |
| Dec 31, 2022 | 62.18 Mn |
| Sep 30, 2022 | 20.60 Mn |
| Dec 31, 2021 | 10.32 Mn |
Granite Ridge Resources 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=GRNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GRNT", "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=GRNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();