Remitly Global (RELY) Operating Expenses (2020 - 2026)
Remitly Global (RELY) posted Operating Expenses of $428.48 million for Q2 2026, up 7.9% from $397.21 million a year earlier and up 7.4% from the prior quarter.
Remitly Global (RELY) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Remitly Global was $1.64 billion, up 13.9% year-over-year; for FY2025, it was $1.56 billion, up 19.5% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- In prior years, Remitly Global's Operating Expenses was $1.3 billion in FY2024 (+23.1%), $1.06 billion in FY2023 (+36.6%), $774.6 million in FY2022 (+55.4%) and $498.33 million in FY2021 (+74.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last 20 quarters, with growth averaging 17.7% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 7.9% (Q2 2026) and 82.1% (Q3 2021) over the last five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was $399.06 million (Q1 2026), $403.36 million (Q4 2025) and $407.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 655.82 Bn | 599.14 Bn | - | 4.76 Bn |
| 2 | Mastercard | 494.77 Bn | 454.69 Bn | - | 3.69 Bn |
| 3 | Wise | 14.20 Bn | -73.58 Bn | - | - |
| 4 | Remitly Global | 4.63 Bn | 2.29 Bn | 307.34 Mn | 428.48 Mn |
| 5 | Western Union | 1.91 Bn | -2.10 Bn | 336.50 Mn | 881.10 Mn |
| 6 | International Money Express | 351.86 Mn | -268.28 Mn | - | 122.41 Mn |
| 7 | Currenc | 191.18 Mn | -35.74 Mn | 3.70 Mn | -22.77 Mn |
| 8 | Sentage Holdings | 4.83 Mn | 4.83 Mn | - | - |
| 9 | American Express | 206.73 Bn | -1.45 Bn | - | 14.48 Bn |
| 10 | Capital One Financial | 120.55 Bn | 120.55 Bn | - | 9.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428.48 Mn |
| Mar 31, 2026 | 399.06 Mn |
| Dec 31, 2025 | 403.36 Mn |
| Sep 30, 2025 | 407.72 Mn |
| Jun 30, 2025 | 397.21 Mn |
| Mar 31, 2025 | 349.39 Mn |
| Dec 31, 2024 | 355.63 Mn |
| Sep 30, 2024 | 336.16 Mn |
| Jun 30, 2024 | 322.19 Mn |
| Mar 31, 2024 | 289.07 Mn |
| Dec 31, 2023 | 295.76 Mn |
| Sep 30, 2023 | 278.53 Mn |
| Jun 30, 2023 | 252.26 Mn |
| Mar 31, 2023 | 231.93 Mn |
| Dec 31, 2022 | 213.90 Mn |
| Sep 30, 2022 | 204.88 Mn |
| Jun 30, 2022 | 196.63 Mn |
| Mar 31, 2022 | 159.19 Mn |
| Dec 31, 2021 | 151.79 Mn |
| Sep 30, 2021 | 133.91 Mn |
Remitly Global 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=RELY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RELY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();