Protara Therapeutics (TARA) Assets (2013 - 2026)
Protara Therapeutics (TARA) posted Assets of $176.09 million for Q2 2026, up 12.2% from $156.93 million a year earlier but down 8.2% from the prior quarter.
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Analysis
Protara Therapeutics (TARA) Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Protara Therapeutics' Assets came in at $209.47 million, up 15.4% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Protara Therapeutics' Assets was $181.45 million in FY2024 (+129.8%), $78.95 million in FY2023 (-30.3%), $113.29 million in FY2022 (-34.4%) and $172.6 million in FY2021 (-15.0%).
- Quarterly Assets has run from a low of $68.13 million in Q1 2024 to a high of $209.47 million in Q4 2025 over five years.
- On a year-over-year basis, Assets has increased in each of the last nine quarters, with growth averaging 54.1% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q1 2025, with growth of 147.4%; the weakest was Q3 2023, with a decline of 40.5%.
- According to Business Quant data, Assets for the three prior quarters was $191.92 million (Q1 2026), $209.47 million (Q4 2025) and $144.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Protara Therapeutics | 192.02 Mn | 192.02 Mn | - | 176.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.09 Mn |
| Mar 31, 2026 | 191.92 Mn |
| Dec 31, 2025 | 209.47 Mn |
| Sep 30, 2025 | 144.64 Mn |
| Jun 30, 2025 | 156.93 Mn |
| Mar 31, 2025 | 168.56 Mn |
| Dec 31, 2024 | 181.45 Mn |
| Sep 30, 2024 | 94.09 Mn |
| Jun 30, 2024 | 101.65 Mn |
| Mar 31, 2024 | 68.13 Mn |
| Dec 31, 2023 | 78.95 Mn |
| Sep 30, 2023 | 88.47 Mn |
| Jun 30, 2023 | 95.14 Mn |
| Mar 31, 2023 | 106.41 Mn |
| Dec 31, 2022 | 113.29 Mn |
| Sep 30, 2022 | 148.59 Mn |
| Jun 30, 2022 | 154.88 Mn |
| Mar 31, 2022 | 161.26 Mn |
| Dec 31, 2021 | 172.60 Mn |
| Sep 30, 2021 | 180.70 Mn |
API Access
Protara Therapeutics 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=assets&ticker=TARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "TARA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=TARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();