Reliability (RLBY) Assets (2010 - 2026)
Reliability (RLBY) recorded Assets of $9.83 million in Q1 2026, down 0.8% from $9.91 million a year earlier but up 11.1% from the prior quarter.
Analysis
Reliability (RLBY) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Reliability reported Assets of $8.85 million, down 23.5% from FY2024.
- Annual Assets has a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Across earlier years, Assets came in at $11.56 million in FY2024 (+18.1%), $9.79 million in FY2023 (-27.5%), $13.49 million in FY2022 (-5.6%) and $14.29 million in FY2021 (+16.3%).
- Quarterly Assets has ranged from $8.85 million in Q4 2025 to $14.35 million in Q3 2021 over the past five years.
- On a year-over-year basis, Assets has declined for four consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 45.8% in Q3 2021, against a decline of 27.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.85 million (Q4 2025), $9.17 million (Q3 2025) and $9.38 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 68.81 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 10.53 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 21.96 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 9.95 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 13.97 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 3.35 Bn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 3.12 Bn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 7.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 22.00 Mn |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | 9.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.83 Mn |
| Dec 31, 2025 | 8.85 Mn |
| Sep 30, 2025 | 9.17 Mn |
| Jun 30, 2025 | 9.38 Mn |
| Mar 31, 2025 | 9.91 Mn |
| Dec 31, 2024 | 11.56 Mn |
| Sep 30, 2024 | 10.25 Mn |
| Jun 30, 2024 | 10.05 Mn |
| Mar 31, 2024 | 9.69 Mn |
| Dec 31, 2023 | 9.79 Mn |
| Sep 30, 2023 | 9.65 Mn |
| Jun 30, 2023 | 10.04 Mn |
| Mar 31, 2023 | 10.91 Mn |
| Dec 31, 2022 | 13.49 Mn |
| Sep 30, 2022 | 12.94 Mn |
| Jun 30, 2022 | 13.62 Mn |
| Mar 31, 2022 | 12.94 Mn |
| Dec 31, 2021 | 14.29 Mn |
| Sep 30, 2021 | 14.35 Mn |
| Jun 30, 2021 | 11.59 Mn |
API Access
Reliability Assets 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=assets&ticker=RLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();