Kalaris Therapeutics (KLRS) Total Non-Current Liabilities (2024 - 2026)
Kalaris Therapeutics' Total Non-Current Liabilities came in at $9.79 million for Q2 2026, up 28.0% from $7.65 million a year earlier and up 6.7% from the prior quarter.
Kalaris Therapeutics (KLRS) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Kalaris Therapeutics' Total Non-Current Liabilities was $10.85 million, down 84.7% from FY2024.
- Going back by year, Total Non-Current Liabilities was $70.7 million in FY2024.
- The five-year range for quarterly Total Non-Current Liabilities is $7.14 million (Q1 2025) to $70.7 million (Q4 2024).
- Business Quant data shows KLRS's Total Non-Current Liabilities at $9.17 million (Q1 2026), $10.85 million (Q4 2025) and $7.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Kalaris Therapeutics | 47.83 Mn | -45.67 Mn | - | 9.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.79 Mn |
| Mar 31, 2026 | 9.17 Mn |
| Dec 31, 2025 | 10.85 Mn |
| Sep 30, 2025 | 7.23 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 7.14 Mn |
| Dec 31, 2024 | 70.70 Mn |
Kalaris Therapeutics 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=KLRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();