GoodRx Holdings (GDRX) Total Non-Current Liabilities (2019 - 2026)
GoodRx Holdings (GDRX) reported Total Non-Current Liabilities of $1.69 billion for Q2 2026, up 152.2% from $668.63 million a year earlier and up 21.3% from the prior quarter.
GoodRx Holdings (GDRX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, GoodRx Holdings posted Total Non-Current Liabilities of $779.06 million, up 18.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $656.65 million in FY2024 (-19.8%), $818.67 million in FY2023 (+4.7%), $782.25 million in FY2022 (+1.5%) and $770.56 million in FY2021 (+2.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 27.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 152.2%); the low point was Q1 2025 (a decline of 22.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.39 billion (Q1 2026), $779.06 million (Q4 2025) and $717.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | GoodRx Holdings | 1.12 Bn | 51.85 Mn | 179.41 Mn | 1.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.69 Bn |
| Mar 31, 2026 | 1.39 Bn |
| Dec 31, 2025 | 779.06 Mn |
| Sep 30, 2025 | 717.23 Mn |
| Jun 30, 2025 | 668.63 Mn |
| Mar 31, 2025 | 634.01 Mn |
| Dec 31, 2024 | 656.65 Mn |
| Sep 30, 2024 | 649.64 Mn |
| Jun 30, 2024 | 797.44 Mn |
| Mar 31, 2024 | 814.54 Mn |
| Dec 31, 2023 | 818.67 Mn |
| Sep 30, 2023 | 818.94 Mn |
| Jun 30, 2023 | 787.16 Mn |
| Mar 31, 2023 | 776.04 Mn |
| Dec 31, 2022 | 782.25 Mn |
| Sep 30, 2022 | 770.98 Mn |
| Jun 30, 2022 | 767.50 Mn |
| Mar 31, 2022 | 747.12 Mn |
| Dec 31, 2021 | 770.56 Mn |
| Sep 30, 2021 | 761.58 Mn |
GoodRx Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();