Kalaris Therapeutics (KLRS) EBITDA (2020 - 2026)
Kalaris Therapeutics' EBITDA came in at -$12.38 million for Q2 2026.
Analysis
Kalaris Therapeutics (KLRS) EBITDA (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kalaris Therapeutics reported EBITDA of -$97.26 million; for FY2025, it came in at -$46.14 million.
- Going back by year, EBITDA was -$199.5 million in FY2023, -$170.48 million in FY2022 and -$169.63 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly EBITDA since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.90 Bn | 1,105.48 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 617.06 Bn | 535.59 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 501.38 Bn | 474.49 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 297.92 Bn | 261.91 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.31 Bn | 235.00 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 236.29 Bn | 191.69 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 190.40 Bn | 164.60 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 169.55 Bn | 116.19 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Kalaris Therapeutics | 47.12 Mn | -46.38 Mn | - | -12.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.38 Mn |
| Mar 31, 2026 | -11.82 Mn |
| Dec 31, 2025 | -10.79 Mn |
| Dec 31, 2023 | -62.27 Mn |
| Sep 30, 2023 | -46.88 Mn |
| Jun 30, 2023 | -47.22 Mn |
| Mar 31, 2023 | -43.15 Mn |
| Dec 31, 2022 | -40.35 Mn |
| Sep 30, 2022 | -42.87 Mn |
| Jun 30, 2022 | -44.54 Mn |
| Mar 31, 2022 | -42.73 Mn |
| Dec 31, 2021 | -55.70 Mn |
| Sep 30, 2021 | -45.46 Mn |
| Jun 30, 2021 | -37.62 Mn |
| Mar 31, 2021 | -30.85 Mn |
| Dec 31, 2020 | -25.40 Mn |
| Sep 30, 2020 | -23.88 Mn |
| Jun 30, 2020 | -12.13 Mn |
| Mar 31, 2020 | -9.82 Mn |
API Access
Kalaris Therapeutics EBITDA 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=ebitda&ticker=KLRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KLRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();