FingerMotion (FNGR) Operating Expenses (2014 - 2026)
FingerMotion's Operating Expenses came in at $2.14 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 0.1% from $2.14 million a year earlier and up 7.2% from the prior quarter.
FingerMotion (FNGR) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, FingerMotion reported Operating Expenses of $7.63 million, down 10.3% year-over-year; for FY2026 (ended Feb 28, 2026), it was $7.63 million, down 12.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $8.71 million in FY2025 (+13.5%), $7.68 million in FY2024 (-14.5%), $8.98 million in FY2023 (+17.0%) and $7.68 million in FY2022 (+30.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2025.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with growth averaging 2.5%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2025 (growth of 93.6%), and the weakest in fiscal Q4 2024 (a decline of 52.9%).
- Business Quant data shows FNGR's Operating Expenses at $2 million (Q4 2026), $1.96 million (Q3 2026) and $1.53 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 245.25 Mn |
| 10 | FingerMotion | 8.58 Mn | 7.23 Mn | 208,478.00 | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.14 Mn |
| Feb 28, 2026 | 2.00 Mn |
| Nov 30, 2025 | 1.96 Mn |
| Aug 31, 2025 | 1.53 Mn |
| May 31, 2025 | 2.14 Mn |
| Feb 28, 2025 | 2.32 Mn |
| Nov 30, 2024 | 2.06 Mn |
| Aug 31, 2024 | 1.99 Mn |
| May 31, 2024 | 2.36 Mn |
| Feb 29, 2024 | 1.20 Mn |
| Nov 30, 2023 | 2.60 Mn |
| Aug 31, 2023 | 2.04 Mn |
| May 31, 2023 | 1.84 Mn |
| Feb 28, 2023 | 2.54 Mn |
| Nov 30, 2022 | 2.72 Mn |
| Aug 31, 2022 | 1.91 Mn |
| May 31, 2022 | 1.81 Mn |
| Feb 28, 2022 | 2.09 Mn |
| Nov 30, 2021 | 2.03 Mn |
| Aug 31, 2021 | 2.08 Mn |
FingerMotion 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=FNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FNGR", "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=FNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();