Kalaris Therapeutics (KLRS) Non-Current Assets (2019 - 2026)
Kalaris Therapeutics (KLRS) posted Non-Current Assets of $3.62 million for Q2 2026, up 203.8% from $1.19 million a year earlier but down 68.1% from the prior quarter.
Kalaris Therapeutics (KLRS) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Kalaris Therapeutics' Non-Current Assets came in at $2.93 million, down 17.7% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -21.0% (FY2020 to FY2025).
- In prior years, Kalaris Therapeutics' Non-Current Assets was $3.56 million in FY2024 (+12.5%), $3.16 million in FY2023 (-90.7%), $34.03 million in FY2022 (+2.3%) and $33.25 million in FY2021 (+249.8%).
- Quarterly Non-Current Assets has run from a low of $910,000 in Q1 2025 to a high of $34.66 million in Q3 2021 over five years.
- On a year-over-year basis, Non-Current Assets increased in three of the last five quarters, with growth averaging 29.3%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2021, with growth of 254.8%; the weakest was Q2 2024, with a decline of 96.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $11.34 million (Q1 2026), $2.93 million (Q4 2025) and $2.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Kalaris Therapeutics | 67.84 Mn | 67.84 Mn | - | 3.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 11.34 Mn |
| Dec 31, 2025 | 2.93 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 910,000.00 |
| Dec 31, 2024 | 3.56 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | 2.66 Mn |
| Dec 31, 2023 | 3.16 Mn |
| Sep 30, 2023 | 28.29 Mn |
| Jun 30, 2023 | 29.78 Mn |
| Mar 31, 2023 | 31.77 Mn |
| Dec 31, 2022 | 34.03 Mn |
| Sep 30, 2022 | 21.66 Mn |
| Jun 30, 2022 | 23.48 Mn |
| Mar 31, 2022 | 24.65 Mn |
| Dec 31, 2021 | 33.25 Mn |
| Sep 30, 2021 | 34.66 Mn |
| Jun 30, 2021 | 11.47 Mn |
Kalaris Therapeutics 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=KLRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "KLRS", "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=KLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();