Kalaris Therapeutics (KLRS) Total Liabilities (2019 - 2026)
Kalaris Therapeutics (KLRS) posted Total Liabilities of $41.87 million for Q2 2026, up 5.4% from $39.73 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Kalaris Therapeutics (KLRS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Kalaris Therapeutics' Total Liabilities came in at $42.92 million, down 58.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In prior years, Kalaris Therapeutics' Total Liabilities was $102.78 million in FY2024 (-56.4%), $235.81 million in FY2023 (+348.7%), $52.56 million in FY2022 (-14.3%) and $61.33 million in FY2021 (+245.4%).
- Quarterly Total Liabilities has run from a low of $39.22 million in Q1 2025 to a high of $235.81 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 5.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 348.7%; the weakest was Q3 2025, with a decline of 81.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $41.25 million (Q1 2026), $42.92 million (Q4 2025) and $39.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Kalaris Therapeutics | 67.84 Mn | 67.84 Mn | - | 41.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.87 Mn |
| Mar 31, 2026 | 41.25 Mn |
| Dec 31, 2025 | 42.92 Mn |
| Sep 30, 2025 | 39.31 Mn |
| Jun 30, 2025 | 39.73 Mn |
| Mar 31, 2025 | 39.22 Mn |
| Dec 31, 2024 | 102.78 Mn |
| Sep 30, 2024 | 211.91 Mn |
| Jun 30, 2024 | 182.51 Mn |
| Mar 31, 2024 | 191.68 Mn |
| Dec 31, 2023 | 235.81 Mn |
| Sep 30, 2023 | 52.98 Mn |
| Jun 30, 2023 | 53.58 Mn |
| Mar 31, 2023 | 50.51 Mn |
| Dec 31, 2022 | 52.56 Mn |
| Sep 30, 2022 | 40.47 Mn |
| Jun 30, 2022 | 41.86 Mn |
| Mar 31, 2022 | 39.42 Mn |
| Dec 31, 2021 | 61.33 Mn |
| Sep 30, 2021 | 49.23 Mn |
API Access
Kalaris Therapeutics Total 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-liabilities&ticker=KLRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=KLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();