Ankam (ANKM) Operating Expenses (2021 - 2026)
Ankam (ANKM) posted Operating Expenses of $98,357 for fiscal Q2 2026 (quarter ended May 31, 2026), up 112.4% from $46,313 a year earlier but down 51.6% from the prior quarter.
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Analysis
Ankam (ANKM) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Ankam was $451,976, up 66.3% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $242,292, down 38.8% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 83.7% (FY2021 to FY2025).
- In prior fiscal years, Ankam's Operating Expenses was $395,604 in FY2024 (+21.6%), $325,220 in FY2023 (+470.1%), $57,051 in FY2022 (+168.4%) and $21,257 in FY2021.
- Quarterly Operating Expenses has run from a low of $5,145 in fiscal Q3 2021 to a high of $203,220 in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 41.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 753.9%; the weakest was fiscal Q1 2025, with a decline of 64.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $203,220 (Q1 2026), $94,708 (Q4 2025) and $55,691 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Ankam | 27.35 Mn | 27.18 Mn | 44,900.00 | 98,357.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 98,357.00 |
| Feb 28, 2026 | 203,220.00 |
| Nov 30, 2025 | 94,708.00 |
| Aug 31, 2025 | 55,691.00 |
| May 31, 2025 | 46,313.00 |
| Feb 28, 2025 | 45,581.00 |
| Nov 30, 2024 | 100,819.00 |
| Aug 31, 2024 | 79,098.00 |
| May 31, 2024 | 87,213.00 |
| Feb 29, 2024 | 128,473.00 |
| Nov 30, 2023 | 89,965.00 |
| Aug 31, 2023 | 75,004.00 |
| May 31, 2023 | 75,474.00 |
| Feb 28, 2023 | 84,776.00 |
| Nov 30, 2022 | 31,652.00 |
| Aug 31, 2022 | 8,784.00 |
| May 31, 2022 | 6,542.00 |
| Feb 28, 2022 | 10,073.00 |
| Nov 30, 2021 | 6,166.00 |
| Aug 31, 2021 | 5,145.00 |
API Access
Ankam Operating 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=operating-expenses&ticker=ANKM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ANKM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();