GoodRx Holdings (GDRX) Operating Expenses (2019 - 2026)
GoodRx Holdings (GDRX) recorded Operating Expenses of $176.78 million in Q2 2026, up 0.3% from $176.26 million a year earlier but down 1.8% from the prior quarter.
GoodRx Holdings (GDRX) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, GoodRx Holdings' Operating Expenses came in at $710.29 million as of Jun 30, 2026, down 0.1% year-over-year; for FY2025, it was $709.36 million, down 2.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $726.48 million in FY2024 (-6.5%), $777.27 million in FY2023 (+1.6%), $764.82 million in FY2022 (+4.5%) and $732.02 million in FY2021 (-11.4%).
- Quarterly Operating Expenses has ranged from $171.37 million in Q2 2023 to $218.29 million in Q3 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 5.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 17.9% in Q4 2023, against a decline of 55.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $180 million (Q1 2026), $172.1 million (Q4 2025) and $181.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 49.70 Bn | 21.94 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn | 378.00 Mn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn | 225.19 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn | 226.93 Mn |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn | 517.10 Mn |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn | 657.00 Mn |
| 10 | GoodRx Holdings | 1.23 Bn | 166.10 Mn | 179.41 Mn | 176.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.78 Mn |
| Mar 31, 2026 | 180.00 Mn |
| Dec 31, 2025 | 172.10 Mn |
| Sep 30, 2025 | 181.41 Mn |
| Jun 30, 2025 | 176.26 Mn |
| Mar 31, 2025 | 179.59 Mn |
| Dec 31, 2024 | 180.40 Mn |
| Sep 30, 2024 | 174.84 Mn |
| Jun 30, 2024 | 180.73 Mn |
| Mar 31, 2024 | 190.50 Mn |
| Dec 31, 2023 | 214.93 Mn |
| Sep 30, 2023 | 218.29 Mn |
| Jun 30, 2023 | 171.37 Mn |
| Mar 31, 2023 | 172.68 Mn |
| Dec 31, 2022 | 182.37 Mn |
| Sep 30, 2022 | 203.03 Mn |
| Jun 30, 2022 | 195.85 Mn |
| Mar 31, 2022 | 183.57 Mn |
| Dec 31, 2021 | 201.50 Mn |
| Sep 30, 2021 | 188.10 Mn |
GoodRx Holdings Operating 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=operating-expenses&ticker=GDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();