Korro Bio (KRRO) Total Non-Current Liabilities (2021 - 2026)
Korro Bio's Total Non-Current Liabilities was $58.72 million in Q2 2026, down 8.1% from $63.88 million a year earlier and down 6.1% from the prior quarter.
Korro Bio (KRRO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Korro Bio came in at $60.59 million, down 5.9% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -28.2% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $64.35 million in FY2024 (+26.9%), $50.7 million in FY2023 (-70.7%), $172.77 million in FY2022 (-24.0%) and $227.48 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2023 (growth of 320.8%); the worst was Q1 2024 (a decline of 79.2%).
- Per Business Quant data, KRRO's Total Non-Current Liabilities in the three quarters before Q2 2026 was $62.53 million (Q1 2026), $60.59 million (Q4 2025) and $60.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Korro Bio | 145.73 Mn | -250.91 Mn | - | 58.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.72 Mn |
| Mar 31, 2026 | 62.53 Mn |
| Dec 31, 2025 | 60.59 Mn |
| Sep 30, 2025 | 60.99 Mn |
| Jun 30, 2025 | 63.88 Mn |
| Mar 31, 2025 | 61.81 Mn |
| Dec 31, 2024 | 64.35 Mn |
| Sep 30, 2024 | 63.19 Mn |
| Jun 30, 2024 | 50.33 Mn |
| Mar 31, 2024 | 45.73 Mn |
| Dec 31, 2023 | 50.70 Mn |
| Sep 30, 2023 | 199.61 Mn |
| Jun 30, 2023 | 214.78 Mn |
| Mar 31, 2023 | 219.73 Mn |
| Dec 31, 2022 | 172.77 Mn |
| Sep 30, 2022 | 53.96 Mn |
| Jun 30, 2022 | 53.74 Mn |
| Mar 31, 2022 | 52.21 Mn |
| Dec 31, 2021 | 227.48 Mn |
| Sep 30, 2021 | 54.79 Mn |
Korro 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=KRRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KRRO", "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=KRRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();