Kardigan (KARD) Change in Accrued Expenses (2025 - 2026)
Kardigan's Change in Accrued Expenses came in at $935,000 for Q3 2026, down 77.6% from $4.18 million a year earlier and down 86.5% from the prior quarter.
Kardigan (KARD) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Kardigan reported Change in Accrued Expenses of $5.29 million; for FY2025, it came in at $15.24 million, up 321.1% from FY2024.
- Going back by year, Change in Accrued Expenses was $3.62 million in FY2024.
- The five-year range for quarterly Change in Accrued Expenses is -$6 million (Q1 2026) to $7.93 million (Q2 2025).
- Business Quant data shows KARD's Change in Accrued Expenses at $6.92 million (Q2 2026), -$6 million (Q1 2026) and $3.44 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | - |
| 10 | Kardigan | 1.29 Bn | -398.44 Mn | - | 935,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 935,000.00 |
| Jun 30, 2026 | 6.92 Mn |
| Mar 31, 2026 | -6.00 Mn |
| Jun 30, 2025 | 7.93 Mn |
| Mar 31, 2025 | -314,000.00 |
Kardigan Change in Accrued Expenses 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=change-in-accured-expenses&ticker=KARD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "KARD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=KARD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();