NightFood Holdings (NGTF) Total Liabilities (2013 - 2026)
NightFood Holdings' Total Liabilities was $46.36 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 338.0% from $10.58 million a year earlier and up 7.2% from the prior quarter.
Powered by 
Analysis
NightFood Holdings (NGTF) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Total Liabilities at NightFood Holdings came in at $24.66 million, up 385.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $5.08 million in FY2024 (-29.7%), $7.22 million in FY2023, $578,303 in FY2022 (+25.0%) and $462,703 in FY2021 (-91.5%).
- Quarterly Total Liabilities has moved between $338,748 (fiscal Q2 2022) and $146.67 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last seven quarters, with growth averaging 224.1%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2026 (growth of 583.8%); the worst was fiscal Q2 2022 (a decline of 93.8%).
- Per Business Quant data, NGTF's Total Liabilities in the three fiscal quarters before Q3 2026 was $43.24 million (Q2 2026), $146.67 million (Q1 2026) and $24.66 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | 214.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | 628.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | 93.01 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | 199.75 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 7.12 Mn |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | 26.83 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | 383.30 Mn |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | 4.35 Mn |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | 1.25 Bn |
| 10 | NightFood Holdings | 5.34 Mn | 5.34 Mn | 1.98 Mn | 46.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 46.36 Mn |
| Dec 31, 2025 | 43.24 Mn |
| Sep 30, 2025 | 146.67 Mn |
| Jun 30, 2025 | 24.66 Mn |
| Mar 31, 2025 | 10.58 Mn |
| Dec 31, 2024 | 6.32 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 5.08 Mn |
| Mar 31, 2024 | 5.86 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 2.77 Mn |
| Jun 30, 2023 | 7.22 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 3.86 Mn |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 578,303.00 |
| Mar 31, 2022 | 343,319.00 |
| Dec 31, 2021 | 338,748.00 |
| Sep 30, 2021 | 353,696.00 |
| Jun 30, 2021 | 462,703.00 |
API Access
NightFood Holdings Total Liabilities 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=total-liabilities&ticker=NGTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NGTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();