Wm Technology (MAPS) Capital Expenditures (2020 - 2026)
Wm Technology (MAPS) reported Capital Expenditures of $4.74 million for Q2 2026, up 66.7% from $2.84 million a year earlier and up 86.9% from the prior quarter.
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Analysis
Wm Technology (MAPS) Capital Expenditures (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wm Technology's Capital Expenditures came in at $13.47 million, up 22.5% year-over-year; for FY2025, it came in at $12.69 million, up 9.0% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 57.4% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $11.64 million in FY2024 (-2.0%), $11.87 million in FY2023 (-26.1%), $16.06 million in FY2022 (+102.3%) and $7.94 million in FY2021 (+505.3%).
- The Q2 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to Q3 2020.
- Year over year, Capital Expenditures gained in four of the last eight quarters, with growth averaging 6.4%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 804.2%); the low point was Q2 2023 (a decline of 40.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.54 million (Q1 2026), $3.33 million (Q4 2025) and $2.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 76.00 Mn |
| 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 | 4.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.74 Mn |
| Mar 31, 2026 | 2.54 Mn |
| Dec 31, 2025 | 3.33 Mn |
| Sep 30, 2025 | 2.87 Mn |
| Jun 30, 2025 | 2.84 Mn |
| Mar 31, 2025 | 3.65 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 2.36 Mn |
| Jun 30, 2024 | 2.60 Mn |
| Mar 31, 2024 | 4.54 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 3.06 Mn |
| Jun 30, 2023 | 2.58 Mn |
| Mar 31, 2023 | 3.23 Mn |
| Dec 31, 2022 | 2.92 Mn |
| Sep 30, 2022 | 4.58 Mn |
| Jun 30, 2022 | 4.35 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 3.69 Mn |
| Sep 30, 2021 | 3.41 Mn |
API Access
Wm Technology Capital Expenditures 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=capital-expenditures&ticker=MAPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MAPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();