Reliability (RLBY) Enterprise Value (2010 - 2026)
Reliability (RLBY) recorded Enterprise Value of $17.38 million in Q1 2026, up 48.1% from $11.74 million a year earlier and up 104.1% from the prior quarter.
Reliability (RLBY) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Reliability's Enterprise Value came in at $16.41 million as of Mar 31, 2026, up 51.9% year-over-year; for FY2025, it came in at $8.52 million, down 58.4% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $20.48 million in FY2024 (+44.4%), $14.18 million in FY2023 (+20.4%), $11.77 million in FY2022 (-1.7%) and $11.98 million in FY2021 (-42.8%).
- The Q1 2026 figure is the highest quarterly Enterprise Value since Q4 2024.
- On a year-over-year basis, Enterprise Value rose in four of the last eight quarters, with growth averaging 2.6%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 88.5% in Q3 2024, against a decline of 99.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.52 million (Q4 2025), $11.77 million (Q3 2025) and $8.74 million (Q2 2025).
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
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.38 Mn |
| Dec 31, 2025 | 8.52 Mn |
| Sep 30, 2025 | 11.77 Mn |
| Jun 30, 2025 | 8.74 Mn |
| Mar 31, 2025 | 11.74 Mn |
| Dec 31, 2024 | 20.48 Mn |
| Sep 30, 2024 | 26.86 Mn |
| Jun 30, 2024 | 14.73 Mn |
| Mar 31, 2024 | 23.51 Mn |
| Dec 31, 2023 | 14.18 Mn |
| Sep 30, 2023 | 14.25 Mn |
| Jun 30, 2023 | 10.14 Mn |
| Mar 31, 2023 | 17.64 Mn |
| Dec 31, 2022 | 11.77 Mn |
| Sep 30, 2022 | 18.00 Bn |
| Jun 30, 2022 | 17.86 Mn |
| Mar 31, 2022 | 17.93 Mn |
| Dec 31, 2021 | 11.98 Mn |
| Sep 30, 2021 | 30.00 Bn |
| Jun 30, 2021 | 14.93 Mn |
Reliability Enterprise Value 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=enterprise-value&ticker=RLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();