Kalaris Therapeutics (KLRS) Total Current Liabilities (2019 - 2026)
Kalaris Therapeutics (KLRS) recorded Total Current Liabilities of $8.74 million in Q2 2026, up 14.2% from $7.65 million a year earlier and up 8.2% from the prior quarter.
Kalaris Therapeutics (KLRS) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Kalaris Therapeutics reported Total Current Liabilities of $9.71 million, down 60.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $24.7 million in FY2024 (-12.9%), $28.37 million in FY2023 (+16.6%), $24.34 million in FY2022 (-35.7%) and $37.85 million in FY2021 (+207.9%).
- Quarterly Total Current Liabilities has ranged from $1.41 million in Q3 2024 to $37.85 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in four of the last eight quarters, with growth averaging 50.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 329.5% in Q3 2025, against a decline of 95.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.08 million (Q1 2026), $9.71 million (Q4 2025) and $6.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.26 Bn | 1,105.84 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 618.12 Bn | 536.65 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.25 Bn | 476.36 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.45 Bn | 262.44 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.30 Bn | 192.70 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.55 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.92 Bn | 116.56 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Kalaris Therapeutics | 46.88 Mn | -46.62 Mn | - | 8.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.74 Mn |
| Mar 31, 2026 | 8.08 Mn |
| Dec 31, 2025 | 9.71 Mn |
| Sep 30, 2025 | 6.07 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 7.14 Mn |
| Dec 31, 2024 | 24.70 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 2.36 Mn |
| Mar 31, 2024 | 7.66 Mn |
| Dec 31, 2023 | 28.37 Mn |
| Sep 30, 2023 | 33.07 Mn |
| Jun 30, 2023 | 30.56 Mn |
| Mar 31, 2023 | 24.96 Mn |
| Dec 31, 2022 | 24.34 Mn |
| Sep 30, 2022 | 20.72 Mn |
| Jun 30, 2022 | 21.59 Mn |
| Mar 31, 2022 | 18.64 Mn |
| Dec 31, 2021 | 37.85 Mn |
| Sep 30, 2021 | 24.17 Mn |
Kalaris Therapeutics Total 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-current-liabilities&ticker=KLRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();