XORTX Therapeutics (XRTX) Free Cash Flow (2022 - 2023)
XORTX Therapeutics (XRTX) recorded Free Cash Flow of -$2.77 million in the year ended Dec 31, 2025, compared with -$3.68 million a year earlier.
Powered by 
Analysis
XORTX Therapeutics (XRTX) Free Cash Flow (2022 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2019, XORTX Therapeutics' Free Cash Flow history includes 7 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Free Cash Flow since the year ended Dec 31, 2021.
- Per Business Quant data, XRTX's Free Cash Flow was -$3.68 million in the year ended Dec 31, 2024, -$6.58 million in the year ended Dec 31, 2023, -$9.19 million in the year ended Dec 31, 2022 and $4.84 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 7.76 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 7.30 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.11 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.48 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 6.20 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 5.34 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 3.49 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.43 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 302.00 Mn |
| 10 | XORTX Therapeutics | 1.61 Mn | -1.69 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.00 |
| Jun 30, 2023 | 1,637.00 |
| Mar 31, 2023 | 2,673.00 |
| Dec 31, 2022 | -3.80 Mn |
| Sep 30, 2022 | -951,091.21 |
API Access
XORTX Therapeutics Free Cash Flow 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=free-cash-flow&ticker=XRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "ticker": "XRTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=free-cash-flow&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();