Reliability (RLBY) Total Liabilities (2010 - 2026)
Reliability's Total Liabilities came in at $3.28 million for Q1 2026, up 12.6% from $2.91 million a year earlier and up 50.9% from the prior quarter.
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Analysis
Reliability (RLBY) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Reliability's Total Liabilities was $2.17 million, down 48.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -27.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $4.22 million in FY2024 (+127.4%), $1.86 million in FY2023 (-61.5%), $4.82 million in FY2022 (-1.2%) and $4.88 million in FY2021 (-54.7%).
- The Q1 2026 figure represents the highest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 31.2%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2024 (growth of 127.4%), and the weakest in Q2 2021 (a decline of 72.6%).
- Business Quant data shows RLBY's Total Liabilities at $2.17 million (Q4 2025), $2.57 million (Q3 2025) and $2.58 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 10.58 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 1.93 Bn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Reliability | 15.00 Mn | 13.41 Mn | 770,000.00 | 3.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.28 Mn |
| Dec 31, 2025 | 2.17 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | 2.58 Mn |
| Mar 31, 2025 | 2.91 Mn |
| Dec 31, 2024 | 4.22 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 2.38 Mn |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 2.44 Mn |
| Dec 31, 2022 | 4.82 Mn |
| Sep 30, 2022 | 4.19 Mn |
| Jun 30, 2022 | 4.98 Mn |
| Mar 31, 2022 | 4.08 Mn |
| Dec 31, 2021 | 4.88 Mn |
| Sep 30, 2021 | 4.19 Mn |
| Jun 30, 2021 | 2.84 Mn |
API Access
Reliability Total Liabilities 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=total-liabilities&ticker=RLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();