Reliability (RLBY) Operating Expenses (2010 - 2026)
Reliability (RLBY) reported Operating Expenses of $856,000 for Q1 2026, down 16.3% from $1.02 million a year earlier but up 4.9% from the prior quarter.
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Analysis
Reliability (RLBY) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Reliability's Operating Expenses came in at $3.62 million, down 9.1% year-over-year; for FY2025, it was $3.78 million, down 3.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3.9 million in FY2024 (+2.9%), $3.79 million in FY2023 (-13.9%), $4.4 million in FY2022 (+23.4%) and $3.57 million in FY2021 (-20.1%).
- Five-year quarterly Operating Expenses spans a low of $816,000 in Q4 2025 and a high of $1.31 million in Q1 2022.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 2.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 61.1%); the low point was Q2 2021 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $816,000 (Q4 2025), $977,000 (Q3 2025) and $966,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.84 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 877.22 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | 856,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 856,000.00 |
| Dec 31, 2025 | 816,000.00 |
| Sep 30, 2025 | 977,000.00 |
| Jun 30, 2025 | 966,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 958,000.00 |
| Jun 30, 2024 | 986,000.00 |
| Mar 31, 2024 | 947,000.00 |
| Dec 31, 2023 | 945,000.00 |
| Sep 30, 2023 | 998,000.00 |
| Jun 30, 2023 | 911,000.00 |
| Mar 31, 2023 | 933,000.00 |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 941,000.00 |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | 866,000.00 |
| Jun 30, 2021 | 878,000.00 |
API Access
Reliability 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=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RLBY", "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=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();