GeoPark (GPRK) Return on Sales [ROS] (2012 - 2026)
GeoPark's Return on Sales [ROS] came in at 28.49% for Q3 2026, down 43.38 percentage points from 71.87% a year earlier but up 0.01 percentage points from the prior quarter.
GeoPark (GPRK) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, GeoPark reported Return on Sales [ROS] of 29.86%, down 6.65 percentage points year-over-year; for FY2025, it was 22.44%, down 18.95 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +50.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 41.39% in FY2024 (+5.59 pp), 35.80% in FY2023 (-5.08 pp), 40.88% in FY2022 (+13.90 pp) and 26.99% in FY2021 (+55.09 pp).
- The five-year range for quarterly Return on Sales [ROS] is 5.93% (Q2 2025) to 71.87% (Q3 2025).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -4.16 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 112.17 percentage points), and the weakest in Q3 2026 (a drop of 43.38 percentage points).
- Business Quant data shows GPRK's Return on Sales [ROS] at 28.47% (Q2 2026), 45.19% (Q1 2026) and 18.68% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 18.93% |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 977.98% |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 20.54% |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 39.66% |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 7.15% |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 50.83% |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 36.02% |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 78.41% |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 14.27% |
| 10 | GeoPark | 487.60 Mn | -457.36 Mn | - | 28.49% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.49% |
| Jun 30, 2026 | 28.47% |
| Mar 31, 2026 | 45.19% |
| Dec 31, 2025 | 18.68% |
| Sep 30, 2025 | 71.87% |
| Jun 30, 2025 | 5.93% |
| Mar 31, 2025 | 36.71% |
| Dec 31, 2024 | 31.04% |
| Sep 30, 2024 | 34.28% |
| Jun 30, 2024 | 47.48% |
| Mar 31, 2024 | 50.15% |
| Dec 31, 2023 | 22.18% |
| Sep 30, 2023 | 41.89% |
| Jun 30, 2023 | 38.12% |
| Mar 31, 2023 | 41.97% |
| Dec 31, 2022 | 35.37% |
| Sep 30, 2022 | 56.30% |
| Jun 30, 2022 | 46.08% |
| Mar 31, 2022 | 23.52% |
| Dec 31, 2021 | 34.29% |
GeoPark Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GPRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GPRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();