Wm Technology (MAPS) Other Operating Expenses (2019 - 2026)
Wm Technology's Other Operating Expenses was $15.17 million in Q2 2026, up 0.3% from $15.12 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Wm Technology (MAPS) Other Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wm Technology's Other Operating Expenses was $70.45 million through Jun 30, 2026, up 13.5% year-over-year; for FY2025, it was $68.87 million, up 9.8% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $62.72 million in FY2024 (-34.8%), $96.14 million in FY2023 (-15.6%), $113.85 million in FY2022 (+60.7%) and $70.85 million in FY2021 (+67.4%).
- Quarterly Other Operating Expenses has moved between $14.87 million (Q1 2024) and $32.42 million (Q4 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in four of the last eight quarters, with an average decline of 5.4%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2022 (growth of 146.9%); the worst was Q4 2024 (a decline of 50.7%).
- Per Business Quant data, MAPS's Other Operating Expenses in the three quarters before Q2 2026 was $15.57 million (Q1 2026), $23.75 million (Q4 2025) and $15.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 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 |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.17 Mn |
| Mar 31, 2026 | 15.57 Mn |
| Dec 31, 2025 | 23.75 Mn |
| Sep 30, 2025 | 15.97 Mn |
| Jun 30, 2025 | 15.12 Mn |
| Mar 31, 2025 | 15.58 Mn |
| Dec 31, 2024 | 15.98 Mn |
| Sep 30, 2024 | 15.37 Mn |
| Jun 30, 2024 | 16.50 Mn |
| Mar 31, 2024 | 14.87 Mn |
| Dec 31, 2023 | 32.42 Mn |
| Sep 30, 2023 | 26.34 Mn |
| Jun 30, 2023 | 18.66 Mn |
| Mar 31, 2023 | 18.72 Mn |
| Dec 31, 2022 | 31.17 Mn |
| Sep 30, 2022 | 24.67 Mn |
| Jun 30, 2022 | 28.44 Mn |
| Mar 31, 2022 | 29.57 Mn |
| Dec 31, 2021 | 24.89 Mn |
| Sep 30, 2021 | 15.82 Mn |
API Access
Wm Technology 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=MAPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MAPS", "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=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();