Reliability (RLBY) Tax Provisions (2018 - 2026)
Reliability (RLBY) posted Tax Provisions of $3,000 for Q1 2026.
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Analysis
Reliability (RLBY) Tax Provisions (2018 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Tax Provisions at Reliability was -$125,000; for FY2025, it came in at $14,000.
- In prior years, Reliability's Tax Provisions was $14,000 in FY2023 (-91.8%), $170,000 in FY2022 (-82.7%) and $984,000 in FY2021.
- The Q1 2026 figure stands as the highest quarterly Tax Provisions since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 37.90 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 45.84 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | 3,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3,000.00 |
| Sep 30, 2024 | -5,000.00 |
| Jun 30, 2024 | 7,000.00 |
| Mar 31, 2024 | -130,000.00 |
| Dec 31, 2023 | 11,000.00 |
| Mar 31, 2023 | 3,000.00 |
| Dec 31, 2022 | 53,000.00 |
| Sep 30, 2022 | 91,000.00 |
| Jun 30, 2022 | 24,000.00 |
| Mar 31, 2022 | 2,000.00 |
| Dec 31, 2021 | -91,000.00 |
| Sep 30, 2021 | 405,000.00 |
| Jun 30, 2021 | 675,000.00 |
| Mar 31, 2021 | -6,000.00 |
| Dec 31, 2020 | 56,000.00 |
| Sep 30, 2020 | -237,000.00 |
| Jun 30, 2020 | -50,000.00 |
| Mar 31, 2020 | 1,000.00 |
| Dec 31, 2019 | 195,000.00 |
| Sep 30, 2019 | -36,000.00 |
API Access
Reliability Tax Provisions 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=tax-provisions&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();