Pampa Energy (PAM) Return on Sales [ROS] (2009 - 2026)
Pampa Energy (PAM) reported Return on Sales [ROS] of 24.81% for Q3 2026, down 3.62 percentage points from 28.43% a year earlier and down 11.85 percentage points from the prior quarter.
Pampa Energy (PAM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Pampa Energy's Return on Sales [ROS] came in at 36.64%; for FY2025, it was 25.18%, up 1.72 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3.60 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 23.45% in FY2024 (-6593.69 pp), 6617.15% in FY2023 (+3259.68 pp), 3357.46% in FY2022 (+376.30 pp) and 2981.17% in FY2021 (+2952.39 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 15.38% in Q4 2025 and a high of 50.26% in Q1 2025.
- Year over year, Return on Sales [ROS] gained in three of the last six quarters, with an average year-over-year change of +1.39 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2022 (a gain of 31.49 percentage points); the low point was Q4 2023 (a drop of 13.60 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 36.66% (Q2 2026), 41.94% (Q1 2026) and 15.38% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 670.95 Bn | 635.82 Bn | 47.44 Bn | 18.93% |
| 2 | Shell | 553.51 Bn | 414.86 Bn | - | 977.98% |
| 3 | Chevron | 415.12 Bn | 387.81 Bn | 31.26 Bn | 20.54% |
| 4 | TotalEnergies SE | 193.87 Bn | 69.22 Bn | 31.61 Bn | 39.66% |
| 5 | Eni Spa | 173.39 Bn | 116.57 Bn | - | 7.15% |
| 6 | Conocophillips | 160.35 Bn | 129.38 Bn | 12.63 Bn | 50.83% |
| 7 | Equinor Asa | 101.69 Bn | 14.62 Bn | 4.49 Bn | 36.02% |
| 8 | Canadian Natural Resources | 100.42 Bn | 94.32 Bn | 9.35 Bn | 78.41% |
| 9 | Phillips 66 | 97.80 Bn | 82.75 Bn | 10.69 Bn | 14.27% |
| 10 | Pampa Energy | 3.47 Bn | -2,021.82 Bn | 380.22 Bn | 24.28% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.28% |
| Jun 30, 2026 | 36.66% |
| Mar 31, 2026 | 41.94% |
| Sep 30, 2025 | 28.52% |
| Jun 30, 2025 | 24.71% |
| Mar 31, 2025 | 50.26% |
| Sep 30, 2024 | 29.19% |
| Jun 30, 2024 | 24.34% |
| Mar 31, 2024 | 41.56% |
| Dec 31, 2023 | 22.92% |
| Sep 30, 2023 | 34.78% |
| Jun 30, 2023 | 32.03% |
| Mar 31, 2023 | 31.17% |
| Dec 31, 2022 | 36.52% |
| Sep 30, 2022 | 43.57% |
| Jun 30, 2022 | 30.45% |
| Mar 31, 2022 | 32.59% |
| Dec 31, 2021 | 39.01% |
| Sep 30, 2021 | 48.23% |
| Jun 30, 2021 | 45.06% |
Pampa Energy 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=PAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PAM", "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=PAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();