Remitly Global (RELY) Change in Accured Expenses (2020 - 2026)
Remitly Global (RELY) reported Change in Accured Expenses of $9.83 million for Q2 2026, down 7.3% from $10.6 million a year earlier.
Remitly Global (RELY) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Remitly Global's Change in Accured Expenses came in at $15.37 million, up 83.9% year-over-year; for FY2025, it came in at $23.84 million, up 125.2% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $10.58 million in FY2024 (-26.5%), $14.41 million in FY2023 (-36.8%), $22.78 million in FY2022 (-12.6%) and $26.07 million in FY2021 (+0.5%).
- Five-year quarterly Change in Accured Expenses spans a low of -$39.14 million in Q3 2024 and a high of $54.76 million in Q2 2022.
- Year over year, Change in Accured Expenses gained in 1 of the last four quarters, with an average decline of 9.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2022 (growth of 273.1%); the low point was Q2 2023 (a decline of 90.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$4.9 million (Q1 2026), $12.59 million (Q4 2025) and -$2.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 643.09 Bn | 586.41 Bn | - | 587.00 Mn |
| 2 | Mastercard | 480.84 Bn | 440.75 Bn | - | 749.00 Mn |
| 3 | Wise | 14.12 Bn | -73.65 Bn | - | 3.70 Mn |
| 4 | Remitly Global | 4.61 Bn | 2.26 Bn | 307.34 Mn | 9.83 Mn |
| 5 | Western Union | 1.87 Bn | -2.14 Bn | 336.50 Mn | -11.30 Mn |
| 6 | International Money Express | 347.63 Mn | -272.51 Mn | - | 2.95 Mn |
| 7 | Currenc | 190.57 Mn | -36.36 Mn | 3.70 Mn | 5.55 Mn |
| 8 | Sentage Holdings | 4.77 Mn | 4.77 Mn | - | - |
| 9 | American Express | 204.37 Bn | -3.81 Bn | - | 1.74 Bn |
| 10 | Capital One Financial | 119.47 Bn | 119.47 Bn | - | -11.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.83 Mn |
| Mar 31, 2026 | -4.90 Mn |
| Dec 31, 2025 | 12.59 Mn |
| Sep 30, 2025 | -2.15 Mn |
| Jun 30, 2025 | 10.60 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 34.11 Mn |
| Sep 30, 2024 | -39.14 Mn |
| Jun 30, 2024 | 5.19 Mn |
| Mar 31, 2024 | 10.43 Mn |
| Dec 31, 2023 | -13.71 Mn |
| Sep 30, 2023 | 32.37 Mn |
| Jun 30, 2023 | 5.32 Mn |
| Mar 31, 2023 | -9.57 Mn |
| Dec 31, 2022 | -17.62 Mn |
| Sep 30, 2022 | -10.00 Mn |
| Jun 30, 2022 | 54.76 Mn |
| Mar 31, 2022 | -4.36 Mn |
| Dec 31, 2021 | 10.06 Mn |
| Sep 30, 2021 | 8.08 Mn |
Remitly Global 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=RELY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "RELY", "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=RELY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();