Mannkind (MNKD) Total Current Liabilities (2010 - 2026)
Mannkind's Total Current Liabilities came in at $142.9 million for Q2 2026, up 27.8% from $111.83 million a year earlier and up 6.2% from the prior quarter.
Mannkind (MNKD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mannkind's Total Current Liabilities was $171.03 million, up 109.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $81.84 million in FY2024 (-21.4%), $104.13 million in FY2023 (+54.7%), $67.3 million in FY2022 (+39.2%) and $48.35 million in FY2021 (-34.4%).
- The five-year range for quarterly Total Current Liabilities is $48.35 million (Q4 2021) to $171.03 million (Q4 2025).
- Year-over-year, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 26.7% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2025 (growth of 109.0%), and the weakest in Q3 2021 (a decline of 52.9%).
- Business Quant data shows MNKD's Total Current Liabilities at $134.56 million (Q1 2026), $171.03 million (Q4 2025) and $109.13 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 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Mannkind | 1.33 Bn | 817.62 Mn | 90.66 Mn | 108.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 108.52 Mn |
| Jun 30, 2026 | 142.90 Mn |
| Mar 31, 2026 | 134.56 Mn |
| Dec 31, 2025 | 171.03 Mn |
| Sep 30, 2025 | 109.13 Mn |
| Jun 30, 2025 | 111.83 Mn |
| Mar 31, 2025 | 115.94 Mn |
| Dec 31, 2024 | 81.84 Mn |
| Sep 30, 2024 | 72.10 Mn |
| Jun 30, 2024 | 80.01 Mn |
| Mar 31, 2024 | 99.90 Mn |
| Dec 31, 2023 | 104.13 Mn |
| Sep 30, 2023 | 96.37 Mn |
| Jun 30, 2023 | 96.97 Mn |
| Mar 31, 2023 | 81.85 Mn |
| Dec 31, 2022 | 67.30 Mn |
| Sep 30, 2022 | 59.60 Mn |
| Jun 30, 2022 | 59.56 Mn |
| Mar 31, 2022 | 53.49 Mn |
| Dec 31, 2021 | 48.35 Mn |
Mannkind 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=MNKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "MNKD", "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=MNKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();