GoodRx Holdings (GDRX) Non-Current Assets (2019 - 2026)
GoodRx Holdings (GDRX) posted Non-Current Assets of $743.6 million for Q2 2026, down 3.2% from $768.09 million a year earlier and down 1.5% from the prior quarter.
GoodRx Holdings (GDRX) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, GoodRx Holdings' Non-Current Assets came in at $760.96 million, up 4.4% from FY2024.
- Annual Non-Current Assets has increased for six consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In prior years, GoodRx Holdings' Non-Current Assets was $728.81 million in FY2024 (+1.8%), $716.01 million in FY2023 (+4.5%), $684.95 million in FY2022 (+32.0%) and $518.8 million in FY2021 (+35.2%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q4 2024.
- On a year-over-year basis, Non-Current Assets increased in five of the last eight quarters, with growth averaging 2.1%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2021, with growth of 53.9%; the weakest was Q2 2024, with a decline of 6.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $754.78 million (Q1 2026), $760.96 million (Q4 2025) and $759.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | GoodRx Holdings | 1.13 Bn | 58.65 Mn | 179.41 Mn | 743.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 743.60 Mn |
| Mar 31, 2026 | 754.78 Mn |
| Dec 31, 2025 | 760.96 Mn |
| Sep 30, 2025 | 759.99 Mn |
| Jun 30, 2025 | 768.09 Mn |
| Mar 31, 2025 | 755.06 Mn |
| Dec 31, 2024 | 728.81 Mn |
| Sep 30, 2024 | 728.05 Mn |
| Jun 30, 2024 | 724.84 Mn |
| Mar 31, 2024 | 721.16 Mn |
| Dec 31, 2023 | 716.01 Mn |
| Sep 30, 2023 | 738.87 Mn |
| Jun 30, 2023 | 772.85 Mn |
| Mar 31, 2023 | 704.48 Mn |
| Dec 31, 2022 | 684.95 Mn |
| Sep 30, 2022 | 688.67 Mn |
| Jun 30, 2022 | 698.04 Mn |
| Mar 31, 2022 | 543.61 Mn |
| Dec 31, 2021 | 518.80 Mn |
| Sep 30, 2021 | 562.83 Mn |
GoodRx Holdings Non-Current Assets 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=non-current-assets&ticker=GDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();