Shuttle Pharmaceuticals Holdings (SHPH) Total Current Liabilities (2021 - 2026)
Shuttle Pharmaceuticals Holdings' Total Current Liabilities came in at $3.48 million for Q2 2026, up 105.6% from $1.69 million a year earlier but down 58.1% from the prior quarter.
Shuttle Pharmaceuticals Holdings (SHPH) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Shuttle Pharmaceuticals Holdings' Total Current Liabilities was $7.97 million, up 419.4% from FY2024.
- Total Current Liabilities has increased in each of the last three years, with a four-year compound annual growth rate of 37.7% (FY2021 to FY2025).
- Going back by year, Total Current Liabilities was $1.53 million in FY2024 (+47.2%), $1.04 million in FY2023 (+6.8%), $975,676 in FY2022 (-56.0%) and $2.22 million in FY2021.
- The five-year range for quarterly Total Current Liabilities is $493,682 (Q2 2023) to $8.31 million (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 137.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2025 (growth of 419.4%), and the weakest in Q4 2022 (a decline of 56.0%).
- Business Quant data shows SHPH's Total Current Liabilities at $8.31 million (Q1 2026), $7.97 million (Q4 2025) and $1.96 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 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Shuttle Pharmaceuticals Holdings | 4.11 Mn | 4.11 Mn | - | 3.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.48 Mn |
| Mar 31, 2026 | 8.31 Mn |
| Dec 31, 2025 | 7.97 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.78 Mn |
| Dec 31, 2024 | 1.53 Mn |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | 1.04 Mn |
| Sep 30, 2023 | 810,437.00 |
| Jun 30, 2023 | 493,682.00 |
| Mar 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 975,676.00 |
| Sep 30, 2022 | 970,470.00 |
| Dec 31, 2021 | 2.22 Mn |
Shuttle Pharmaceuticals Holdings 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=SHPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SHPH", "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=SHPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();