NextTrip (NTRP) Operating Expenses (2010 - 2026)
NextTrip (NTRP) recorded Operating Expenses of $3.12 million in fiscal Q1 2027 (quarter ended May 31, 2026), down 33.3% from $4.68 million a year earlier and down 44.9% from the prior quarter.
Powered by 
Analysis
NextTrip (NTRP) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, NextTrip's Operating Expenses came in at $15.46 million as of May 31, 2026, up 52.7% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $17.02 million, up 129.4% from FY2025.
- Annual Operating Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 12.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $7.42 million in FY2025 (+29.2%), $5.74 million in FY2024 (+15.3%), $4.98 million in FY2023 and $9.03 million in FY2022 (-5.7%).
- The fiscal Q1 2027 figure is the lowest quarterly Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 68.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 156.6% in fiscal Q4 2026, against a decline of 33.3% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.67 million (Q4 2026), $3.3 million (Q3 2026) and $3.37 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | NextTrip | 25.91 Mn | 19.15 Mn | 208,099.00 | 3.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.12 Mn |
| Feb 28, 2026 | 5.67 Mn |
| Nov 30, 2025 | 3.30 Mn |
| Aug 31, 2025 | 3.37 Mn |
| May 31, 2025 | 4.68 Mn |
| Feb 28, 2025 | 2.21 Mn |
| Nov 30, 2024 | 1.77 Mn |
| Aug 31, 2024 | 1.47 Mn |
| May 31, 2024 | 1.97 Mn |
| Feb 29, 2024 | 2.34 Mn |
| Nov 30, 2023 | 1.27 Mn |
| Aug 31, 2023 | 1.09 Mn |
| May 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 2.28 Mn |
| Mar 31, 2022 | 2.30 Mn |
| Dec 31, 2021 | 2.59 Mn |
| Sep 30, 2021 | 3.03 Mn |
| Jun 30, 2021 | 2.17 Mn |
API Access
NextTrip 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=NTRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTRP", "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=NTRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();