Remitly Global (RELY) Other Operating Expenses (2020 - 2026)
Remitly Global (RELY) recorded Other Operating Expenses of $292.71 million in Q2 2026, up 14.4% from $255.93 million a year earlier and up 13.2% from the prior quarter.
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Analysis
Remitly Global (RELY) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Remitly Global's Other Operating Expenses came in at $1.08 billion as of Jun 30, 2026, up 17.7% year-over-year; for FY2025, it came in at $1 billion, up 21.4% from FY2024.
- Annual Other Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $825.48 million in FY2024 (+26.8%), $650.87 million in FY2023 (+30.7%), $497.93 million in FY2022 (+39.1%) and $357.99 million in FY2021 (+70.8%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Other Operating Expenses has increased for 20 consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 14.4% (Q2 2026) to 65.1% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $258.61 million (Q1 2026), $259.68 million (Q4 2025) and $267.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Visa | 691.47 Bn | 691.47 Bn | - |
| 2 | Mastercard | 563.07 Bn | 563.07 Bn | - |
| 3 | Wise | 10.86 Bn | 10.86 Bn | - |
| 4 | Remitly Global | 5.06 Bn | 2.72 Bn | 307.34 Mn |
| 5 | Western Union | 1.91 Bn | -2.10 Bn | 336.50 Mn |
| 6 | International Money Express | 273.40 Mn | -346.75 Mn | - |
| 7 | Currenc | 131.25 Mn | -120.04 Mn | 3.70 Mn |
| 8 | Sentage Holdings | 4.77 Mn | 689,111.05 | - |
| 9 | American Express | 214.16 Bn | 13.64 Bn | - |
| 10 | Capital One Financial | 126.74 Bn | 126.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.71 Mn |
| Mar 31, 2026 | 258.61 Mn |
| Dec 31, 2025 | 259.68 Mn |
| Sep 30, 2025 | 267.02 Mn |
| Jun 30, 2025 | 255.93 Mn |
| Mar 31, 2025 | 219.41 Mn |
| Dec 31, 2024 | 226.35 Mn |
| Sep 30, 2024 | 213.89 Mn |
| Jun 30, 2024 | 206.04 Mn |
| Mar 31, 2024 | 179.19 Mn |
| Dec 31, 2023 | 185.56 Mn |
| Sep 30, 2023 | 169.50 Mn |
| Jun 30, 2023 | 156.46 Mn |
| Mar 31, 2023 | 139.35 Mn |
| Dec 31, 2022 | 134.32 Mn |
| Sep 30, 2022 | 131.39 Mn |
| Jun 30, 2022 | 121.54 Mn |
| Mar 31, 2022 | 110.77 Mn |
| Dec 31, 2021 | 107.75 Mn |
| Sep 30, 2021 | 89.95 Mn |
API Access
Remitly Global Other 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=other-operating-expenses&ticker=RELY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RELY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();