Kala Bio (KALA) Total Liabilities (2016 - 2026)
Kala Bio's Total Liabilities came in at $1.54 million for Q2 2026, down 96.1% from $39.26 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Kala Bio (KALA) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Kala Bio's Total Liabilities was $2.49 million, down 94.2% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -54.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $43.15 million in FY2024 (-10.9%), $48.45 million in FY2023 (-28.6%), $67.85 million in FY2022 (-44.7%) and $122.62 million in FY2021 (+0.8%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2016.
- Year-over-year, Total Liabilities has declined for 18 consecutive quarters, with an average decline of 44.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 11.2%), and the weakest in Q1 2026 (a decline of 96.3%).
- Business Quant data shows KALA's Total Liabilities at $1.56 million (Q1 2026), $2.49 million (Q4 2025) and $33.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Kala Bio | 6.57 Mn | 6.57 Mn | - | 1.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 2.49 Mn |
| Sep 30, 2025 | 33.69 Mn |
| Jun 30, 2025 | 39.26 Mn |
| Mar 31, 2025 | 42.54 Mn |
| Dec 31, 2024 | 43.15 Mn |
| Sep 30, 2024 | 47.22 Mn |
| Jun 30, 2024 | 47.89 Mn |
| Mar 31, 2024 | 46.37 Mn |
| Dec 31, 2023 | 48.45 Mn |
| Sep 30, 2023 | 49.90 Mn |
| Jun 30, 2023 | 49.01 Mn |
| Mar 31, 2023 | 48.77 Mn |
| Dec 31, 2022 | 67.85 Mn |
| Sep 30, 2022 | 86.67 Mn |
| Jun 30, 2022 | 116.53 Mn |
| Mar 31, 2022 | 116.86 Mn |
| Dec 31, 2021 | 122.62 Mn |
| Sep 30, 2021 | 132.35 Mn |
API Access
Kala Bio 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=KALA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KALA", "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=KALA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();