Marti Technologies (MRT) Change in Accured Expenses (2021 - 2026)
Marti Technologies (MRT) reported Change in Accured Expenses of -$55,570 for Q2 2026, compared with -$51.88 million a year earlier.
Marti Technologies (MRT) Change in Accured Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marti Technologies' Change in Accured Expenses came in at -$51.24 million; for FY2025, it came in at $1.04 million, up 111.9% from FY2024.
- Change in Accured Expenses has a four-year compound annual growth rate of 10.2% (FY2021 to FY2025).
- By year, Change in Accured Expenses came in at $491,393 in FY2024 (-58.1%), $1.17 million in FY2023 (+177.2%), $422,606 in FY2022 (-40.2%) and $706,224 in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$51.88 million in Q2 2025 and a high of $806,642 in Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | -1.25 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | - |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | - |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 447.00 Mn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 2.38 Bn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | - |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | - |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | -68.00 Mn |
| 10 | Marti Technologies | 163.48 Mn | 134.20 Mn | 15.30 Mn | -55,570.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55,570.00 |
| Mar 31, 2026 | 400,982.00 |
| Jun 30, 2025 | -51.88 Mn |
| Mar 31, 2025 | 298,876.00 |
| Mar 31, 2023 | 215,088.00 |
| Dec 31, 2022 | -1.53 Mn |
| Sep 30, 2022 | 806,642.00 |
| Jun 30, 2022 | 366,429.00 |
| Mar 31, 2022 | 782,965.00 |
| Jun 30, 2021 | 11,851.00 |
Marti Technologies Change in Accured 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=change-in-accured-expenses&ticker=MRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();