GoodRx Holdings (GDRX) Return on Sales [ROS] (2019 - 2026)
GoodRx Holdings (GDRX) reported Return on Sales [ROS] of 11.79% for Q2 2026, down 1.41 percentage points from 13.20% a year earlier but up 4.57 percentage points from the prior quarter.
GoodRx Holdings (GDRX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GoodRx Holdings' Return on Sales [ROS] came in at 9.54%, down 1.55 percentage points year-over-year; for FY2025, it came in at 10.98%, up 2.67 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +61.05 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 8.31% in FY2024 (+11.91 pp), -3.60% in FY2023 (-3.83 pp), 0.23% in FY2022 (-1.57 pp) and 1.80% in FY2021 (+51.87 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -21.30% in Q3 2023 and a high of 13.20% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +6.88 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 200.53 percentage points); the low point was Q3 2023 (a drop of 12.91 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.22% (Q1 2026), 11.65% (Q4 2025) and 7.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | GoodRx Holdings | 1.12 Bn | 48.45 Mn | 179.41 Mn | 11.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.79% |
| Mar 31, 2026 | 7.22% |
| Dec 31, 2025 | 11.65% |
| Sep 30, 2025 | 7.46% |
| Jun 30, 2025 | 13.20% |
| Mar 31, 2025 | 11.52% |
| Dec 31, 2024 | 9.15% |
| Sep 30, 2024 | 10.45% |
| Jun 30, 2024 | 9.91% |
| Mar 31, 2024 | 3.73% |
| Dec 31, 2023 | -9.30% |
| Sep 30, 2023 | -21.30% |
| Jun 30, 2023 | 9.65% |
| Mar 31, 2023 | 6.14% |
| Dec 31, 2022 | 0.94% |
| Sep 30, 2022 | -8.39% |
| Jun 30, 2022 | -2.11% |
| Mar 31, 2022 | 9.72% |
| Dec 31, 2021 | 5.51% |
| Sep 30, 2021 | 3.59% |
GoodRx Holdings 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=GDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GDRX", "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=GDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();