Kala Bio (KALA) Total Current Liabilities (2016 - 2026)
Kala Bio's Total Current Liabilities came in at $1.54 million for Q2 2026, down 90.4% from $16.02 million a year earlier and down 1.2% from the prior quarter.
Kala Bio (KALA) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Kala Bio's Total Current Liabilities was $2.49 million, down 85.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -35.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $16.96 million in FY2024 (+103.2%), $8.35 million in FY2023 (-67.5%), $25.69 million in FY2022 (-31.4%) and $37.42 million in FY2021 (+68.4%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities in data going back to Q4 2016.
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 9.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2024 (growth of 131.7%), and the weakest in Q1 2026 (a decline of 93.2%).
- Business Quant data shows KALA's Total Current Liabilities at $1.56 million (Q1 2026), $2.49 million (Q4 2025) and $32.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Kala Bio | 6.57 Mn | 6.57 Mn | - | 1.54 Mn |
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 | 32.57 Mn |
| Jun 30, 2025 | 16.02 Mn |
| Mar 31, 2025 | 22.98 Mn |
| Dec 31, 2024 | 16.96 Mn |
| Sep 30, 2024 | 23.87 Mn |
| Jun 30, 2024 | 19.19 Mn |
| Mar 31, 2024 | 11.88 Mn |
| Dec 31, 2023 | 8.35 Mn |
| Sep 30, 2023 | 10.30 Mn |
| Jun 30, 2023 | 9.85 Mn |
| Mar 31, 2023 | 10.27 Mn |
| Dec 31, 2022 | 25.69 Mn |
| Sep 30, 2022 | 40.24 Mn |
| Jun 30, 2022 | 32.89 Mn |
| Mar 31, 2022 | 32.76 Mn |
| Dec 31, 2021 | 37.42 Mn |
| Sep 30, 2021 | 27.20 Mn |
Kala Bio 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=KALA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=KALA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();