NightFood Holdings (NGTF) Operating Expenses (2014 - 2026)
NightFood Holdings' Operating Expenses came in at $6.88 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 339.0% from $1.57 million a year earlier and up 19.9% from the prior quarter.
NightFood Holdings (NGTF) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, NightFood Holdings reported Operating Expenses of $18.61 million, up 940.6% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $5.03 million, up 606.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $712,052 in FY2024 (-67.7%), $2.2 million in FY2023 (-7.2%), $2.37 million in FY2022 (-26.1%) and $3.21 million in FY2021 (+8.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2015.
- Year-over-year, Operating Expenses increased in three of the last four quarters, with growth averaging 149.8%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2026 (growth of 339.0%), and the weakest in fiscal Q2 2024 (a decline of 82.5%).
- Business Quant data shows NGTF's Operating Expenses at $5.74 million (Q2 2026), $2.95 million (Q1 2026) and $3.05 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | 261.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | 265.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | -72.09 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | -73.92 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | 57.29 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | 47.18 Mn |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | 14.07 Mn |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | -50.70 Mn |
| 10 | NightFood Holdings | 5.34 Mn | 5.34 Mn | 1.98 Mn | 6.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.88 Mn |
| Dec 31, 2025 | 5.74 Mn |
| Sep 30, 2025 | 2.95 Mn |
| Jun 30, 2025 | 3.05 Mn |
| Mar 31, 2025 | 1.57 Mn |
| Dec 31, 2024 | 191,849.00 |
| Sep 30, 2024 | 218,461.00 |
| Jun 30, 2024 | -188,371.00 |
| Mar 31, 2024 | 475,021.00 |
| Dec 31, 2023 | 120,965.00 |
| Sep 30, 2023 | 304,876.00 |
| Jun 30, 2023 | 717,211.00 |
| Mar 31, 2023 | 155,660.00 |
| Dec 31, 2022 | 690,908.00 |
| Sep 30, 2022 | 638,577.00 |
| Jun 30, 2022 | 406,335.00 |
| Mar 31, 2022 | 460,646.00 |
| Dec 31, 2021 | 557,764.00 |
| Sep 30, 2021 | 948,128.00 |
| Jun 30, 2021 | 1.56 Mn |
NightFood Holdings 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=NGTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NGTF", "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=NGTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();