Adm Endeavors (ADMQ) Operating Expenses (2013 - 2026)
Adm Endeavors (ADMQ) recorded Operating Expenses of $1.27 million in Q2 2026, up 2.8% from $1.23 million a year earlier and up 7.3% from the prior quarter.
Adm Endeavors (ADMQ) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Adm Endeavors' Operating Expenses came in at $5.52 million as of Jun 30, 2026, up 3.3% year-over-year; for FY2025, it came in at $5.38 million, up 0.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $5.37 million in FY2024 (+5.3%), $5.1 million in FY2023 (-3.3%), $5.27 million in FY2022 (-9.8%) and $5.84 million in FY2021 (+13.2%).
- Quarterly Operating Expenses has ranged from $794,757 in Q1 2023 to $2 million in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 40.3% in Q1 2024, against a decline of 31.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.18 million (Q1 2026), $1.07 million (Q4 2025) and $2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Adm Endeavors | 6.34 Mn | 5.16 Mn | 447,964.00 | 1.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.07 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | 1.22 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 1.30 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 794,757.00 |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.85 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.16 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 1.99 Mn |
Adm Endeavors 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=operating-expenses&ticker=ADMQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADMQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ADMQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();