Wm Technology (MAPS) Selling, General & Administrative (2020 - 2026)
Wm Technology (MAPS) recorded Selling, General & Administrative of $16.27 million in Q2 2026, down 14.4% from $19 million a year earlier and down 14.6% from the prior quarter.
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Analysis
Wm Technology (MAPS) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Wm Technology's Selling, General & Administrative came in at $72.11 million as of Jun 30, 2026, up 1.3% year-over-year; for FY2025, it came in at $76.93 million, up 9.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $70.6 million in FY2024 (-5.0%), $74.31 million in FY2023 (-38.5%), $120.79 million in FY2022 (+27.0%) and $95.08 million in FY2021 (+86.0%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q1 2021.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 0.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 117.4% in Q1 2022, against a decline of 45.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.06 million (Q1 2026), $18.94 million (Q4 2025) and $17.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Wm Technology | 57.49 Mn | -98.37 Mn | 39.92 Mn | 16.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.27 Mn |
| Mar 31, 2026 | 19.06 Mn |
| Dec 31, 2025 | 18.94 Mn |
| Sep 30, 2025 | 17.84 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 16.67 Mn |
| Dec 31, 2024 | 19.05 Mn |
| Sep 30, 2024 | 16.49 Mn |
| Jun 30, 2024 | 18.53 Mn |
| Mar 31, 2024 | 16.53 Mn |
| Dec 31, 2023 | 18.47 Mn |
| Sep 30, 2023 | 18.15 Mn |
| Jun 30, 2023 | 16.78 Mn |
| Mar 31, 2023 | 20.91 Mn |
| Dec 31, 2022 | 28.63 Mn |
| Sep 30, 2022 | 33.49 Mn |
| Jun 30, 2022 | 29.61 Mn |
| Mar 31, 2022 | 29.06 Mn |
| Dec 31, 2021 | 24.72 Mn |
| Sep 30, 2021 | 23.22 Mn |
API Access
Wm Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=MAPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();