Ameriguard Security Services (AGSS) Operating Expenses (2011 - 2026)
Ameriguard Security Services' Operating Expenses was $1.07 million in Q1 2026, down 45.3% from $1.95 million a year earlier and down 17.3% from the prior quarter.
Ameriguard Security Services (AGSS) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ameriguard Security Services' Operating Expenses was $5.38 million through Mar 31, 2026, down 16.1% year-over-year; for FY2025, it was $6.26 million, down 2.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 211.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $6.4 million in FY2024 (+51.2%), $4.23 million in FY2023 (+37.4%), $3.08 million in FY2022 (+82.8%) and $1.69 million in FY2021.
- The Q1 2026 figure marks the lowest quarterly Operating Expenses since Q4 2023.
- Compared with a year earlier, Operating Expenses has declined for three straight quarters, with growth averaging 16.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 317.4%); the worst was Q4 2021 (a decline of 81.6%).
- Per Business Quant data, AGSS's Operating Expenses in the three quarters before Q1 2026 was $1.29 million (Q4 2025), $1.2 million (Q3 2025) and $1.83 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Ameriguard Security Services | 893,484.76 | -389,881.24 | 163,093.00 | 1.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.83 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 1.40 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 804,419.00 |
| Sep 30, 2023 | 1.05 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 877,981.00 |
| Sep 30, 2022 | 7,462.00 |
| Jun 30, 2022 | 11,882.00 |
| Mar 31, 2022 | 637,791.00 |
| Dec 31, 2021 | 3,940.00 |
| Sep 30, 2021 | 9,347.00 |
| Jun 30, 2021 | 2,847.00 |
Ameriguard Security Services 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=AGSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGSS", "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=AGSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();