Reliability (RLBY) Change in Taxes (2016 - 2023)
Reliability's Change in Taxes was -$5,000 in Q4 2023, compared with -$270,000 a year earlier.
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Analysis
Reliability (RLBY) Change in Taxes (2016 - 2023) Analysis & Trends
For FY2023, Change in Taxes at Reliability came in at -$6,000.
- In earlier years, Change in Taxes was -$511,000 in FY2022, $225,000 in FY2021, -$525,000 in FY2020 and $153,000 in FY2019 (-49.8%).
- Quarterly Change in Taxes has moved between -$596,000 (Q2 2022) and $505,000 (Q2 2021) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | -146.03 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 32.97 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 66.00 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 |
|---|---|
| Dec 31, 2023 | -5,000.00 |
| Mar 31, 2023 | -1,000.00 |
| Dec 31, 2022 | -270,000.00 |
| Sep 30, 2022 | 184,000.00 |
| Jun 30, 2022 | -596,000.00 |
| Mar 31, 2022 | 171,000.00 |
| Dec 31, 2021 | -513,000.00 |
| Sep 30, 2021 | 277,000.00 |
| Jun 30, 2021 | 505,000.00 |
| Mar 31, 2021 | -44,000.00 |
| Dec 31, 2020 | 34,000.00 |
| Sep 30, 2020 | -445,000.00 |
| Jun 30, 2020 | -100,000.00 |
| Mar 31, 2020 | -14,000.00 |
| Dec 31, 2019 | 401,000.00 |
| Sep 30, 2019 | -68,000.00 |
| Jun 30, 2019 | -162,000.00 |
| Mar 31, 2019 | -18,000.00 |
| Sep 30, 2016 | 250.00 |
API Access
Reliability Change in Taxes 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=change-in-taxes&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();