Reliability (RLBY) Revenue (2019 - 2026)
Reliability (RLBY) posted Revenue of $5.55 million for Q1 2026, up 17.0% from $4.75 million a year earlier but down 4.9% from the prior quarter.
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Analysis
Reliability (RLBY) Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Revenue at Reliability was $21.52 million, down 8.2% year-over-year; for FY2025, it was $20.72 million, down 13.6% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- In prior years, Reliability's Revenue was $23.98 million in FY2024 (+11.8%), $21.45 million in FY2023 (-16.6%), $25.73 million in FY2022 (-2.0%) and $26.25 million in FY2021 (-10.1%).
- Quarterly Revenue has run from a low of $4.72 million in Q2 2025 to a high of $8.44 million in Q4 2021 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2022, with growth of 27.7%; the weakest was Q4 2023, with a decline of 22.0%.
- According to Business Quant data, Revenue for the three prior quarters was $5.84 million (Q4 2025), $5.42 million (Q3 2025) and $4.72 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 5.06 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 1.08 Bn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | 5.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.55 Mn |
| Dec 31, 2025 | 5.84 Mn |
| Sep 30, 2025 | 5.42 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 4.75 Mn |
| Dec 31, 2024 | 6.42 Mn |
| Sep 30, 2024 | 6.23 Mn |
| Jun 30, 2024 | 6.04 Mn |
| Mar 31, 2024 | 5.30 Mn |
| Dec 31, 2023 | 5.46 Mn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 5.45 Mn |
| Mar 31, 2023 | 5.20 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 6.46 Mn |
| Jun 30, 2022 | 6.48 Mn |
| Mar 31, 2022 | 5.78 Mn |
| Dec 31, 2021 | 8.44 Mn |
| Sep 30, 2021 | 6.94 Mn |
| Jun 30, 2021 | 5.07 Mn |
API Access
Reliability Revenue 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=revenue&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();