Reliability (RLBY) Accumulated Expenses (2018 - 2026)
Reliability's Accumulated Expenses came in at $437,000 for Q1 2026, up 82.1% from $240,000 a year earlier and up 35.3% from the prior quarter.
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Analysis
Reliability (RLBY) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Reliability's Accumulated Expenses was $323,000, up 12.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $288,000 in FY2024 (-0.7%), $290,000 in FY2023 (-14.5%), $339,000 in FY2022 (-16.1%) and $404,000 in FY2021 (+7.7%).
- The five-year range for quarterly Accumulated Expenses is $129,000 (Q2 2025) to $932,000 (Q3 2025).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2025 (growth of 139.6%), and the weakest in Q2 2025 (a decline of 44.9%).
- Business Quant data shows RLBY's Accumulated Expenses at $323,000 (Q4 2025), $932,000 (Q3 2025) and $129,000 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 437,000.00 |
| Dec 31, 2025 | 323,000.00 |
| Sep 30, 2025 | 932,000.00 |
| Jun 30, 2025 | 129,000.00 |
| Mar 31, 2025 | 240,000.00 |
| Dec 31, 2024 | 288,000.00 |
| Sep 30, 2024 | 389,000.00 |
| Jun 30, 2024 | 234,000.00 |
| Mar 31, 2024 | 285,000.00 |
| Dec 31, 2023 | 290,000.00 |
| Sep 30, 2023 | 318,000.00 |
| Jun 30, 2023 | 321,000.00 |
| Mar 31, 2023 | 232,000.00 |
| Dec 31, 2022 | 339,000.00 |
| Sep 30, 2022 | 344,000.00 |
| Jun 30, 2022 | 343,000.00 |
| Mar 31, 2022 | 266,000.00 |
| Dec 31, 2021 | 404,000.00 |
| Sep 30, 2021 | 316,000.00 |
| Jun 30, 2021 | 288,000.00 |
API Access
Reliability Accumulated 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=accumulated-expenses&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();