Datacentrex (DTCX) Cash & Equivalents (2020 - 2025)
Datacentrex (DTCX) recorded Cash & Equivalents of $38.92 million in Q4 2025, up 731.5% from $4.68 million a year earlier but down 11.7% from the prior quarter.
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Analysis
Datacentrex (DTCX) Cash & Equivalents (2020 - 2025) Analysis & Trends
Starting with Q4 2020, Datacentrex's Cash & Equivalents history includes 20 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 186.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $4.68 million in FY2024, $259,212 in FY2023 (-77.6%), $1.16 million in FY2022 (+172.2%) and $424,445 in FY2021 (+110.8%).
- Quarterly Cash & Equivalents has ranged from $60,430 in Q2 2025 to $44.08 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last six quarters, with growth averaging 154.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 731.5% in Q4 2025, against a decline of 86.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.08 million (Q3 2025), $60,430 (Q2 2025) and $1.04 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 9.10 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 21.06 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.66 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 4.87 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 17.21 Bn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 19.00 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 6.90 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 6.82 Bn |
| 10 | Datacentrex | 73.74 Mn | 73.74 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 38.92 Mn |
| Sep 30, 2025 | 44.08 Mn |
| Jun 30, 2025 | 60,430.00 |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 4.68 Mn |
| Sep 30, 2024 | 110,246.00 |
| Jun 30, 2024 | 398,450.00 |
| Mar 31, 2024 | 225,673.00 |
| Dec 31, 2023 | 259,212.00 |
| Sep 30, 2023 | 146,240.00 |
| Jun 30, 2023 | 393,143.00 |
| Mar 31, 2023 | 528,330.00 |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 653,856.00 |
| Mar 31, 2022 | 325,276.00 |
| Dec 31, 2021 | 424,445.00 |
| Sep 30, 2021 | 243,914.00 |
| Jun 30, 2021 | 570,280.00 |
| Dec 31, 2020 | 201,317.00 |
API Access
Datacentrex Cash & Equivalents 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=cash-and-equivalents&ticker=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "DTCX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();