MakeMyTrip (MMYT) EBITDA (2009 - 2026)
MakeMyTrip (MMYT) posted EBITDA of $50.23 million for the quarter ended Jun 30, 2026, up 5.7% from $47.53 million a year earlier and up 6.8% from the prior quarter.
MakeMyTrip (MMYT) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at MakeMyTrip was $186.52 million, up 16.6% year-over-year; for the year ended Mar 31, 2026, it was $183.82 million, up 25.0% from the prior year.
- Annual EBITDA has increased for three consecutive years.
- In prior years, MakeMyTrip's EBITDA was $147.01 million in the year ended Mar 31, 2025 (+59.0%), $92.46 million in the year ended Mar 31, 2024 (+81.8%), $50.85 million in the year ended Mar 31, 2023 and -$1.01 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBITDA since the quarter ended Sep 30, 2011.
- On a year-over-year basis, EBITDA has increased in each of the last 15 quarters, with growth averaging 44.3% over the last eight quarters.
- Across the past five years, year-over-year growth in EBITDA ran from 5.7% in the quarter ended Jun 30, 2026 to 818.1% in the quarter ended Dec 31, 2022.
- According to Business Quant data, EBITDA for the three prior quarters was $47.02 million (quarter ended Mar 31, 2026), $47.86 million (quarter ended Dec 31, 2025) and $41.41 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | MakeMyTrip | 4.29 Bn | 1.11 Bn | - | 50.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.23 Mn |
| Mar 31, 2026 | 47.02 Mn |
| Dec 31, 2025 | 47.86 Mn |
| Sep 30, 2025 | 41.41 Mn |
| Jun 30, 2025 | 47.53 Mn |
| Mar 31, 2025 | 38.24 Mn |
| Dec 31, 2024 | 41.44 Mn |
| Sep 30, 2024 | 32.82 Mn |
| Jun 30, 2024 | 34.52 Mn |
| Mar 31, 2024 | 23.71 Mn |
| Dec 31, 2023 | 29.38 Mn |
| Sep 30, 2023 | 13.45 Mn |
| Jun 30, 2023 | 25.94 Mn |
| Mar 31, 2023 | 14.87 Mn |
| Dec 31, 2022 | 14.27 Mn |
| Sep 30, 2022 | 10.67 Mn |
| Jun 30, 2022 | 11.19 Mn |
| Mar 31, 2022 | 10.31 Mn |
| Dec 31, 2021 | 1.55 Mn |
| Sep 30, 2021 | -621,000.00 |
MakeMyTrip EBITDA 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=ebitda&ticker=MMYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MMYT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MMYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();