Oil And Gas Production Industry Efficiency
Operational efficiency benchmarks for Oil And Gas Production Industry, covering Revenue & Net Income per Employee and Receivable, Inventory, and Asset Turnover.
Includes a 5-quarter rolling view from Q2 2026 – 2Q 2025 for trend analysis across reporting cycles. Commercial access adds working capital metrics (DSO, DIO, DPO, CCC), efficiency scores, and cross-sectional distributions across TTM and FY periods (FY 2025 – FY 2021), with up to 20 years of historical data for long-term benchmarking and credit analysis.
Oil And Gas Production Industry Efficiency Ratios
| Oil And Gas Production Industry | 2Q 2026 | 1Q 2026 | 4Q 2025 | 3Q 2025 | 2Q 2025 |
|---|---|---|---|---|---|
| Revenue / Employee (TTM) $ | 626,576 | Sign In | Sign In | Sign In | Sign In |
| Sales/Employee Ranking | # 14 | Sign In | Sign In | Sign In | Sign In |
| Net Income / Employee (TTM) $ | 71,166 | Sign In | Sign In | Sign In | Sign In |
| Net Income/Employee Ranking | # 15 | Sign In | Sign In | Sign In | Sign In |
| Receivable Turnover (TTM) | 5.94 | Sign In | Sign In | Sign In | Sign In |
| Receivable Turnover Ranking | # 63 | Sign In | Sign In | Sign In | Sign In |
| Inventory Turnover (Sales, TTM) | 13.8 | Sign In | Sign In | Sign In | Sign In |
| Inventory Turnover (Sales) Ranking | # 36 | Sign In | Sign In | Sign In | Sign In |
| Inventory Turnover (COS, TTM) | 4.21 | Sign In | Sign In | Sign In | Sign In |
| Inventory Turnover (COS) Ranking | # 53 | Sign In | Sign In | Sign In | Sign In |
| Asset Turnover (TTM) | 0.5 | Sign In | Sign In | Sign In | Sign In |
| Asset Turnover Ranking | # 87 | Sign In | Sign In | Sign In | Sign In |
Sign in to unlock the full Oil And Gas Production Industry efficiency history.
How Operational Efficiency Ratios Are Applied in Finance
Revenue & Net Income per Employee are where credit underwriting and leveraged finance work often starts. The question underneath is plain: how much each head produces, weighed against the debt the business has to service. When revenue per head slides while headcount holds flat, margin compression is usually forming — before it surfaces in EBITDA. Acquirers run the same two ratios in M&A due diligence, benchmarking a target against its industry median to size operational synergy potential and frame integration-cost assumptions.
In asset-based lending (ABL) and revolving credit facility (RCF) structuring, Receivable Turnover earns its keep. Banks invert it into Days Sales Outstanding to set eligible-receivables borrowing bases and advance-rate haircuts. Slip against industry peers and the signal is collection risk — sometimes enough to prompt a borrowing-base redetermination or a covenant step-down in working capital facilities.
Inventory Turnover (Sales & COS) sits at the center of inventory financing, trade finance, and supply chain credit analysis. In commodity lending and warehouse receipt financing, how fast stock turns sets advance rates and margining frequency. Structuring teams in commodity trade finance (CTF) lean on the COS-based version specifically: it is their cleanest proxy for liquidation risk under a forced-sale scenario.
Asset Turnover is the hinge in a DuPont decomposition of return on assets (ROA) — which is why it runs through credit rating agency analysis (S&P, Moody's) and the internal ratings-based (IRB) models commercial banks maintain. It also reads capital intensity directly. In project finance and infrastructure lending, a low number means fixed assets are concentrated and operational leverage is running high.
The five-quarter trend steps back from the most recent TTM period one quarter at a time, which is what lets a credit analyst separate cyclical versus structural deterioration — a distinction that drives covenant headroom analysis, waiver negotiations, and credit watch placements. With up to 20 years of history reachable from the navigation links, current ratios can be benchmarked against full business-cycle norms and prior stress periods.
| Metric | Q2 2026 TTM | Q1 2026 TTM | Q4 2025 TTM | Q3 2025 TTM | Q2 2025 TTM |
|---|---|---|---|---|---|
| Reporting Coverage Rate % of companies that reported results |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Sales Outstanding (DSO) Avg. days to collect receivables |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Inventory Outstanding (DIO) Avg. days inventory is held |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Payables Outstanding (DPO) Avg. days to pay suppliers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Operating Cycle Days DSO + DIO |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Cash Conversion Cycle (CCC) Operating cycle minus DPO |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Efficiency Composite Score Multi-factor (0–100) |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Median Cross-sectional median |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover 25th Pct. Lower quartile |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover 75th Pct. Upper quartile |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Std. Dev. Dispersion across peers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Quartile Spread IQR (P75 - P25) |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| CCC Median Cross-sectional median |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| CCC Std. Dev. Dispersion across peers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
Advanced efficiency analytics - TTM require a Commercial License.
Advanced Efficiency Analytics in Credit & Institutional Finance
Reporting Coverage Rate tracks how many of the industry's constituent companies have actually reported for a given period — a data-quality and timeliness check on how much weight the aggregate metrics can bear. Below 70%, treat industry-level ratios with caution; the sample tilts toward early reporters. Credit portfolio surveillance and sector credit reviews watch coverage trends against reporting deadlines, since a cluster of late filers in one industry can itself signal operational stress or audit complications across issuers.
Few metrics in working capital finance carry more weight than the Cash Conversion Cycle (CCC). Banks structuring revolving credit facilities, supply chain finance (SCF) programmes, and receivables purchase agreements anchor facility tenor, drawdown mechanics, and repayment triggers to it. A lengthening CCC means working capital is being consumed faster — a particular red flag in leveraged buyout (LBO) models, where free cash flow is already pinned down by debt amortisation schedules.
Days Sales Outstanding (DSO) governs borrowing-base availability in asset-based lending. Concentration limits, dilution reserves, and ineligibility criteria are all calibrated to its trend. It also works as a hard trigger: in securitisation of trade receivables, breaching a defined threshold (e.g., DSO > 90 days) fires early amortisation events under the programme's indenture.
For inventory-secured lending and floor plan financing, Days Inventory Outstanding (DIO) is the primary collateral-quality read. Appraisal firms fold it into net orderly liquidation value (NOLV) and forced liquidation value (FLV) — the collateral bases behind advance rates on ABL revolvers. When DIO climbs in a declining-price environment, the concern is inventory obsolescence, and credit agreements typically respond by requiring a field examination.
Days Payables Outstanding (DPO) gets read through trade credit risk and supply chain concentration. In credit rating analysis, a DPO well above peers points to payables stretching — a liquidity tactic that flatters short-term cash but signals distress once it is structural rather than occasional. Rating agencies and credit committees surface elevated DPO in watch-list reviews and probability-of-default (PD) scoring models.
Operating Cycle Days set the right measurement period for working-capital facility covenants. Borrowers with longer cycles tend to negotiate annual or semi-annual testing rather than quarterly under LMA/LSTA syndicated-loan documentation.
The Efficiency Composite Score rolls cross-sectional rankings into one figure for peer benchmarking within sector credit reviews and portfolio surveillance. Risk teams at commercial banks and credit funds use it to triage watchlist credits and decide where to spend scarce field-examination resources.
Asset Turnover distribution metrics (median, quartiles, standard deviation) feed stress-testing and scenario analysis under IFRS 9 expected credit loss (ECL) modelling and Basel III internal ratings-based (IRB) approaches. The interquartile spread is the dispersion measure: a wider sector spread argues for wider scenario assumptions in portfolio-level stress tests.
| Metric | FY 2025 | FY 2024 | FY 2023 | FY 2022 | FY 2021 |
|---|---|---|---|---|---|
| Reporting Coverage Rate % of companies that reported results |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Sales Outstanding (DSO) Avg. days to collect receivables |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Inventory Outstanding (DIO) Avg. days inventory is held |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Days Payables Outstanding (DPO) Avg. days to pay suppliers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Operating Cycle Days DSO + DIO |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Cash Conversion Cycle (CCC) Operating cycle minus DPO |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Efficiency Composite Score Multi-factor (0–100) |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Median Cross-sectional median |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover 25th Pct. Lower quartile |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover 75th Pct. Upper quartile |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Std. Dev. Dispersion across peers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Asset Turnover Quartile Spread IQR (P75 - P25) |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| CCC Median Cross-sectional median |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| CCC Std. Dev. Dispersion across peers |
Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Revenue per Employee (FY) Full-year basis |
$312,400 | $312,400 | $312,400 | $312,400 | $312,400 |
| Net Income per Employee (FY) Full-year basis |
$28,100 | $28,100 | $28,100 | $28,100 | $28,100 |
| Asset Turnover (FY) Full-year basis |
0.79x | 0.79x | 0.79x | 0.79x | 0.79x |
| Receivable Turnover (FY) Full-year basis |
8.4x | 8.4x | 8.4x | 8.4x | 8.4x |
| Inventory Turnover COS (FY) Full-year basis |
6.1x | 6.1x | 6.1x | 6.1x | 6.1x |
Operating Liquidity & Cash Cycle analytics - FY require a Commercial License.
Fiscal Year Efficiency Data in Structured Finance & Annual Credit Assessment
Full-year efficiency ratios are the reference frame for annual credit reviews, covenant compliance certificates, and rating agency presentations. Where trailing TTM data lags, fiscal-year figures line up with audited financial statements — which is what makes them the authoritative basis for compliance testing under credit agreements that reference GAAP or IFRS reported financials.
Full-year Revenue & Net Income per Employee turn up in leveraged finance credit memos, high-yield bond offering memoranda, and investment grade credit assessments. Debt capital markets (DCM) teams use full-year productivity to frame the business quality narrative on investor roadshows — showing that an issuer's operational efficiency holds up against industry medians is a standard part of credit story construction.
Annual Asset Turnover drives the DuPont ROE decomposition used in equity research and fixed income credit analysis. In project finance and infrastructure debt, lenders model its trajectory across a facility's life to stress-test debt service coverage ratios (DSCR) — the repayment metric that matters most in non-recourse structures.
Annual Receivable & Inventory Turnover are required disclosures in the borrowing base certificates ABL lenders collect under credit agreement reporting covenants. The annual figures set the baseline that quarterly field examinations are measured against; a material slip can trigger enhanced monitoring, dominion over cash (lockbox activation), or availability block mechanics.
Trade finance desks use the Annual Cash Conversion Cycle to structure self-liquidating facilities — lines repaid by the cash freed as inventory converts to receivables and receivables convert to cash. The CCC defines the maximum self-liquidating tenor; facilities that run longer are classified as evergreen and attract higher capital charges under Basel III.
Operating Cycle & DPO (FY) feed supplier finance (reverse factoring) programme design. A bank extending approved payables finance reads the buyer's DPO trend to gauge extension capacity — the incremental days of deferral it can monetise before rating agency re-characterisation reclassifies payables as financial debt.
Multi-year fiscal data is what separates structural efficiency trends from seasonal or cyclical distortions — a requirement in IFRS 9 lifetime ECL estimation, stress scenario construction, and through-the-cycle (TTC) PD calibration for IRB model validation.
Within the Energy sector, 2 other industries have achieved higher revenue per employee, and it ranks 14th across all U.S. industries.
Industry Benchmarking Dataset for Institutional Use
CommercialThe data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into credit risk models, AML/KYC frameworks, portfolio analytics, and internal banking systems. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.
Decision Framework & Data Access
Power onboarding, benchmarking, and quantitative analysis with institutional-grade datasets structured for direct integration into financial models and risk frameworks.
- Industry benchmarking datasets (valuation, growth, profitability)
- Designed for quant models, AML/KYC validation & onboarding workflows
- Consistent time-series structure (Quarterly, TTM, Annual)
- Coverage across 100+ industries and 20+ years of history
