Unusual Machines (UMAC) Cash & Equivalents (2022 - 2026)
Unusual Machines (UMAC) reported Cash & Equivalents of $229.6 million for Q2 2026, up 489.7% from $38.93 million a year earlier.
Analysis
Unusual Machines (UMAC) Cash & Equivalents (2022 - 2026) Analysis & Trends
At the end of FY2025, Unusual Machines posted Cash & Equivalents of $103.26 million.
- Cash & Equivalents has a three-year compound annual growth rate of 221.8% (FY2022 to FY2025).
- By year, Cash & Equivalents came in at $3.76 million in FY2024 (+319.9%), $894,773 in FY2023 (-71.1%) and $3.1 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 880.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 67.94 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 278.10 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 1.21 Bn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 229.60 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 30.65 Mn |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn | 18.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.60 Mn |
| Dec 31, 2025 | 103.26 Mn |
| Sep 30, 2025 | 64.29 Mn |
| Jun 30, 2025 | 38.93 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 3.76 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 2.22 Mn |
| Mar 31, 2024 | 3.21 Mn |
| Dec 31, 2023 | 894,773.00 |
| Dec 31, 2022 | 3.10 Mn |
API Access
Unusual Machines 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=UMAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "UMAC", "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=UMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();