Karyopharm Therapeutics (KPTI) Total Non-Current Liabilities (2014 - 2026)
Karyopharm Therapeutics' Total Non-Current Liabilities was $369.15 million in Q2 2026, up 36.6% from $270.31 million a year earlier.
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Analysis
Karyopharm Therapeutics (KPTI) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Karyopharm Therapeutics came in at $329 million, up 18.8% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $276.94 million in FY2024 (+13.4%), $244.17 million in FY2023 (+0.8%), $242.11 million in FY2022 (-3.9%) and $251.98 million in FY2021 (+33.0%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q1 2014.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last seven quarters, with growth averaging 14.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 37.4%); the worst was Q4 2022 (a decline of 3.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Karyopharm Therapeutics | 12.16 Mn | -214.27 Mn | 32.35 Mn | 368.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 368.81 Mn |
| Dec 31, 2025 | 317.91 Mn |
| Sep 30, 2025 | 277.87 Mn |
| Jun 30, 2025 | 262.05 Mn |
| Mar 31, 2025 | 254.95 Mn |
| Dec 31, 2024 | 274.51 Mn |
| Sep 30, 2024 | 269.44 Mn |
| Jun 30, 2024 | 268.34 Mn |
| Mar 31, 2024 | 238.35 Mn |
| Dec 31, 2023 | 243.19 Mn |
| Sep 30, 2023 | 236.45 Mn |
| Jun 30, 2023 | 233.93 Mn |
| Mar 31, 2023 | 237.17 Mn |
| Dec 31, 2022 | 242.11 Mn |
| Sep 30, 2022 | 238.52 Mn |
| Jun 30, 2022 | 239.82 Mn |
| Mar 31, 2022 | 244.11 Mn |
| Dec 31, 2021 | 251.98 Mn |
| Sep 30, 2021 | 247.59 Mn |
| Jun 30, 2021 | 237.22 Mn |
API Access
Karyopharm Therapeutics 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=KPTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KPTI", "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=KPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();