Ankam (ANKM) Other Accumulated Expenses (2023 - 2026)
Ankam's Other Accumulated Expenses was $489,380 in fiscal Q2 2026 (quarter ended May 31, 2026), up 860.8% from $50,932 a year earlier and up 2.8% from the prior quarter.
Ankam (ANKM) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Other Accumulated Expenses at Ankam came in at $447,418, down 10.4% from FY2024.
- In earlier fiscal years, Other Accumulated Expenses was $499,338 in FY2024 (+71.0%) and $292,026 in FY2023.
- The fiscal Q2 2026 figure marks the highest quarterly Other Accumulated Expenses since fiscal Q4 2024.
- Per Business Quant data, ANKM's Other Accumulated Expenses in the three fiscal quarters before Q2 2026 was $475,970 (Q1 2026), $447,418 (Q4 2025) and $50,932 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Ankam | 27.35 Mn | 27.18 Mn | 44,900.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 489,380.00 |
| Feb 28, 2026 | 475,970.00 |
| Nov 30, 2025 | 447,418.00 |
| Aug 31, 2025 | 50,932.00 |
| May 31, 2025 | 50,932.00 |
| Feb 28, 2025 | 932.00 |
| Nov 30, 2024 | 499,338.00 |
| Nov 30, 2023 | 292,026.00 |
Ankam Other Accumulated 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=other-accumulated-expenses&ticker=ANKM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ANKM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ANKM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();