Kala Bio (KALA) Total Non-Current Liabilities (2016 - 2025)
Kala Bio (KALA) posted Total Non-Current Liabilities of $1.11 million for Q3 2025, down 95.2% from $23.35 million a year earlier and down 95.2% from the prior quarter.
Kala Bio (KALA) Total Non-Current Liabilities (2016 - 2025) Analysis & Trends
At the end of FY2024, Kala Bio's Total Non-Current Liabilities came in at $26.2 million, down 34.7% from FY2023.
- Annual Total Non-Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -23.5% (FY2019 to FY2024).
- In prior years, Kala Bio's Total Non-Current Liabilities was $40.1 million in FY2023 (-4.9%), $42.16 million in FY2022 (-50.5%), $85.2 million in FY2021 (-14.3%) and $99.39 million in FY2020 (-0.5%).
- The Q3 2025 figure stands as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 16 quarters, with an average decline of 34.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 5.7%; the weakest was Q3 2025, with a decline of 95.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $23.24 million (Q2 2025), $19.57 million (Q1 2025) and $26.2 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Kala Bio | 2.38 Mn | -42.27 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.11 Mn |
| Jun 30, 2025 | 23.24 Mn |
| Mar 31, 2025 | 19.57 Mn |
| Dec 31, 2024 | 26.20 Mn |
| Sep 30, 2024 | 23.35 Mn |
| Jun 30, 2024 | 28.70 Mn |
| Mar 31, 2024 | 34.49 Mn |
| Dec 31, 2023 | 40.10 Mn |
| Sep 30, 2023 | 39.60 Mn |
| Jun 30, 2023 | 39.16 Mn |
| Mar 31, 2023 | 38.50 Mn |
| Dec 31, 2022 | 42.16 Mn |
| Sep 30, 2022 | 46.43 Mn |
| Jun 30, 2022 | 83.64 Mn |
| Mar 31, 2022 | 84.10 Mn |
| Dec 31, 2021 | 85.20 Mn |
| Sep 30, 2021 | 105.15 Mn |
| Jun 30, 2021 | 105.12 Mn |
| Mar 31, 2021 | 100.05 Mn |
| Dec 31, 2020 | 99.39 Mn |
Kala Bio Total Non-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-non-current-liabilities&ticker=KALA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=KALA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();